Histology image analysis for carcinoma detection and grading.

Abstract:

:This paper presents an overview of the image analysis techniques in the domain of histopathology, specifically, for the objective of automated carcinoma detection and classification. As in other biomedical imaging areas such as radiology, many computer assisted diagnosis (CAD) systems have been implemented to aid histopathologists and clinicians in cancer diagnosis and research, which have been attempted to significantly reduce the labor and subjectivity of traditional manual intervention with histology images. The task of automated histology image analysis is usually not simple due to the unique characteristics of histology imaging, including the variability in image preparation techniques, clinical interpretation protocols, and the complex structures and very large size of the images themselves. In this paper we discuss those characteristics, provide relevant background information about slide preparation and interpretation, and review the application of digital image processing techniques to the field of histology image analysis. In particular, emphasis is given to state-of-the-art image segmentation methods for feature extraction and disease classification. Four major carcinomas of cervix, prostate, breast, and lung are selected to illustrate the functions and capabilities of existing CAD systems.

authors

He L,Long LR,Antani S,Thoma GR

doi

10.1016/j.cmpb.2011.12.007

subject

Has Abstract

pub_date

2012-09-01 00:00:00

pages

538-56

issue

3

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(11)00324-5

journal_volume

107

pub_type

杂志文章
  • An advanced method in fetal phonocardiography.

    abstract::The long-term variability of the fetal heart rate (FHR) provides valuable information on the fetal health status. The routine clinical FHR measurements are usually carried out by the means of ultrasound cardiography. Although the frequent FHR monitoring is recommendable, the high quality ultrasound devices are so expe...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/s0169-2607(02)00111-6

    authors: Várady P,Wildt L,Benyó Z,Hein A

    更新日期:2003-07-01 00:00:00

  • MLSeq: Machine learning interface for RNA-sequencing data.

    abstract:BACKGROUND AND OBJECTIVE:In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data. Although there are many algorithms proposed for microarray data, the n...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.04.007

    authors: Goksuluk D,Zararsiz G,Korkmaz S,Eldem V,Zararsiz GE,Ozcetin E,Ozturk A,Karaagaoglu AE

    更新日期:2019-07-01 00:00:00

  • An operator approach to interactive data processing. I. The system.

    abstract::A computer software system for interactive data processing is described. Data are transferred between functions ('operators'). Execution flow is designed in a semi-graphical language. Data are composed of arbitrary data types in sequences of any length. The system works as an interpreter and the user may define or mod...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(88)90025-9

    authors: Lööf Y

    更新日期:1988-09-01 00:00:00

  • The role of AIDA in a primary care information system.

    abstract::In this article the development of a computer system for General Practice, ELIAS, is described. The use of the 4th-generation software toolkit AIDA proved to be very helpful in increasing the speed of development as well as the quality of the ELIAS software. The programming support that AIDA offered, not only in incre...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(87)90086-1

    authors: Boon WM,Westerhof HP,Duisterhout JS,Cromme PV

    更新日期:1987-11-01 00:00:00

  • Risk of fracture in elderly patients: a new predictive index based on bone mineral density and finite element analysis.

    abstract::Hip fracture is more and more frequent in elderly population. For this reason, an increasing attention has been focused on the development of a non-invasive method to predict femoral neck fracture. A conventional approach to fracture diagnosis is the measurement of bone mass by dual-energy X-ray absorptiometry in some...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/s0169-2607(99)00007-3

    authors: Testi D,Viceconti M,Baruffaldi F,Cappello A

    更新日期:1999-07-01 00:00:00

  • Automatic classification of sleep stages based on the time-frequency image of EEG signals.

    abstract::In this paper, a new method for automatic sleep stage classification based on time-frequency image (TFI) of electroencephalogram (EEG) signals is proposed. Automatic classification of sleep stages is an important part for diagnosis and treatment of sleep disorders. The smoothed pseudo Wigner-Ville distribution (SPWVD)...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2013.07.006

    authors: Bajaj V,Pachori RB

    更新日期:2013-12-01 00:00:00

  • Evaluating topic model interpretability from a primary care physician perspective.

    abstract:BACKGROUND AND OBJECTIVE:Probabilistic topic models provide an unsupervised method for analyzing unstructured text. These models discover semantically coherent combinations of words (topics) that could be integrated in a clinical automatic summarization system for primary care physicians performing chart review. Howeve...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2015.10.014

    authors: Arnold CW,Oh A,Chen S,Speier W

    更新日期:2016-02-01 00:00:00

  • Advanced multimodal visualisation of clinical gait and fluoroscopy analyses in the assessment of total knee replacement.

    abstract::Traditional gait and fluoroscopy analysis of human movement are largely utilised but are still limited in registration, integration, synchronisation and visualisation capabilities. The present work exploits the features of a recently developed software tool based on multimodal display (Data Manager developed within th...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2005.04.007

    authors: Leardini A,Astolfi L,Fantozzi S,Viceconti M,Benedetti MG,Catani F

    更新日期:2005-09-01 00:00:00

  • Development of a child head analytical dynamic model considering cranial nonuniform thickness and curvature - Applying to children aged 0-1 years old.

    abstract:BACKGROUND AND OBJECTIVE:Although analytical models have been used to quickly predict head response under impact condition, the existing models generally took the head as regular shell with uniform thickness which cannot account for the actual head geometry with varied cranial thickness and curvature at different locat...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.04.022

    authors: Li Z,Ji C,Wang L

    更新日期:2018-07-01 00:00:00

  • Interstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance.

    abstract::Glucose-insulin system models are commonly used for identifying insulin sensitivity. With physiological, 2-compartment insulin kinetics models, accurate kinetic parameter values are required for reliable estimates of insulin sensitivity. This study uses data from 6 published microdialysis studies to determine the most...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2014.01.011

    authors: Pretty CG,Le Compte A,Penning S,Fisk L,Shaw GM,Desaive T,Chase JG

    更新日期:2014-05-01 00:00:00

  • Fetal health status prediction based on maternal clinical history using machine learning techniques.

    abstract:BACKGROUND AND OBJECTIVE:Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enhance detecting and defining these abnormalities. About 60-70% of the ano...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.06.010

    authors: Akbulut A,Ertugrul E,Topcu V

    更新日期:2018-09-01 00:00:00

  • IT-based evaluation and automatic improvement of the quality of intraoral radiographs.

    abstract::The quality of intraoral radiographs made in dental practices is too often not adequate for diagnostic purposes. This necessitates standardized measures for the quality of intraoral radiographs and controlled techniques for automatic image improvement. For the evaluation of the quality of digitized intraoral radiograp...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(94)01597-9

    authors: Koch S,Wagner IV,Seipel S,Schneider W

    更新日期:1995-01-01 00:00:00

  • Molecular modelling analysis of T219A mutant envelope protein revealed novel virulence enhancing factors in Dengue virus isolated from Kerala state, India.

    abstract::Dengue virus (DENV) is an emerging health threat and its envelope glycoprotein E, is involved in the anchoring and fusion mechanisms. Anchoring followed by conformational changes of E-protein are responsible for the fusion and entry of DENV into host. The variation in the conformation of the E-protein due to mutations...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105481

    authors: Kumar YN,Jeyakodi G,Kumar NP,Gunasekaran K,Jambulingam P

    更新日期:2020-10-01 00:00:00

  • The MISCAN simulation program for the evaluation of screening for disease.

    abstract::The computer program MISCAN is developed for use in evaluation of mass screening for disease. The program uses Monte Carlo simulation. It produces output on the results of screening projects and on the effects of screening on morbidity and mortality on the individual and population level. The calculations are based on...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(85)90048-3

    authors: Habbema JD,van Oortmarssen GJ,Lubbe JT,van der Maas PJ

    更新日期:1985-05-01 00:00:00

  • A knowledge-based system for real-time quality control and fault diagnosis of multitest analyzers.

    abstract::A PC-based real-time quality control (QC) system for multitest analyzers has been developed as a prototype. The system is built with use of a relational database management system (DBMS). Control values from the various analytical channels are stored and administrated with use of the DBMS. The control values collected...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(91)90042-r

    authors: Groth T,Modèn H

    更新日期:1991-02-01 00:00:00

  • Classification of ADHD with fMRI data and multi-objective optimization.

    abstract:BACKGROUND AND OBJECTIVE:Dataset imbalance is an important problem in neuroimaging. Imbalanced datasets would cause the performance degradation of a classifier by utilizing imbalanced learning, which tends to overfocus on the majority class. In this paper, we consider an imbalanced neuroimaging classification problem, ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105676

    authors: Shao L,You Y,Du H,Fu D

    更新日期:2020-11-01 00:00:00

  • Considering imperfections using 3D imaging system in angle obtaining, angle signal distance computing and multivariate distance graphing.

    abstract::Fields such as medicine, biomechanics or ergonomics need to measure the positions and the rotational movements of body segments. The aim of this article is to underscore the problem of imperfection on angle measurement using a three-dimensional television system. First, the error on a single angle value is assessed th...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(95)01650-i

    authors: Loslever P

    更新日期:1995-08-01 00:00:00

  • A new hybrid intelligent system for accurate detection of Parkinson's disease.

    abstract::Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in walking, talking or completing other simple tasks. Variety of medications is available to treat P...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2014.01.004

    authors: Hariharan M,Polat K,Sindhu R

    更新日期:2014-03-01 00:00:00

  • Fast parallel vessel segmentation.

    abstract:BACKGROUND AND OBJECTIVE:Accurate and fast vessel segmentation from liver slices remain challenging and important tasks for clinicians. The algorithms from the literature are slow and less accurate. We propose fast parallel gradient based seeded region growing for vessel segmentation. Seeded region growing is tedious w...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105430

    authors: Satpute N,Naseem R,Palomar R,Zachariadis O,Gómez-Luna J,Cheikh FA,Olivares J

    更新日期:2020-08-01 00:00:00

  • A medical reasoning program that improves with experience.

    abstract::A physician's problem-solving performance improves with experience. The performance of most medical expert systems does not. The author has developed a diagnosis program for coronary disease that improves its performance by remembering and learning from cases that it has already solved. The program diagnoses commonly-...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(89)90070-9

    authors: Koton P

    更新日期:1989-10-01 00:00:00

  • Diagnostic reasoning and medical decision-making with fuzzy influence diagrams.

    abstract::Influence diagrams have been widely used as knowledge bases in medical informatics and many applied domains. In conventional influence diagrams, the numerical models of uncertainty are probability distributions associated with chance nodes and value tables for value nodes. However, when incomplete knowledge or linguis...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2007.11.009

    authors: Kao HY

    更新日期:2008-04-01 00:00:00

  • OLYMPUS: an automated hybrid clustering method in time series gene expression. Case study: host response after Influenza A (H1N1) infection.

    abstract::The increasing flow of short time series microarray experiments for the study of dynamic cellular processes poses the need for efficient clustering tools. These tools must deal with three primary issues: first, to consider the multi-functionality of genes; second, to evaluate the similarity of the relative change of a...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2013.05.025

    authors: Dimitrakopoulou K,Vrahatis AG,Wilk E,Tsakalidis AK,Bezerianos A

    更新日期:2013-09-01 00:00:00

  • A computerized method for evaluating scoliotic deformities using elliptical pattern recognition in X-ray spine images.

    abstract:BACKGROUND AND OBJECTIVE:Several studies have evaluated the reproducibility of the Cobb angle for measuring the degree of scoliotic deformities from X-ray spine images, and proposed different geometric models for describing the spinal curvature. The ellipse was shown to be an adequate geometric form, but was not yet ap...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.04.015

    authors: Pinheiro AP,Coelho JC,Veiga ACP,Vrtovec T

    更新日期:2018-07-01 00:00:00

  • An application of the microcomputer as a generator of target movements for the eye tracking test (ETT).

    abstract::We have developed a new system to produce target movements for our particular purposes using a microcomputer and 9-bit digital-to-analog converter. A continuously changing sinusoidal wave was produced to examine the relationship between the frequencies of target movements and smooth pursuit. A random sinusoidal wave w...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(86)90057-x

    authors: Ohashi N,Watanabe Y,Imamura J,Takeda S,Mizukoshi K

    更新日期:1986-12-01 00:00:00

  • Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques.

    abstract::Identifying the abnormal changes of mental workload (MWL) over time is quite crucial for preventing the accidents due to cognitive overload and inattention of human operators in safety-critical human-machine systems. It is known that various neuroimaging technologies can be used to identify the MWL variations. In orde...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2014.04.011

    authors: Yin Z,Zhang J

    更新日期:2014-07-01 00:00:00

  • A model of fluid resuscitation following burn injury: formulation and parameter estimation.

    abstract::A dynamic compartmental model is developed to describe the redistribution of fluid and albumin between the circulation and the intact and injured interstitia following burn injury in humans. Transcapillary fluid and albumin exchange is described by a coupled Starling mechanism, while the effect of the burn is represen...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(95)01637-9

    authors: Ampratwum RT,Bowen BD,Lund T,Reed RK,Bert JL

    更新日期:1995-06-01 00:00:00

  • Ontology driven decision support for the diagnosis of mild cognitive impairment.

    abstract::In recent years, mild cognitive impairment (MCI) has attracted significant attention as an indicator of high risk for Alzheimer's disease (AD), and the diagnosis of MCI can alert patient to carry out appropriate strategies to prevent AD. To avoid subjectivity in diagnosis, we propose an ontology driven decision suppor...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2013.12.023

    authors: Zhang X,Hu B,Ma X,Moore P,Chen J

    更新日期:2014-03-01 00:00:00

  • Automatic detection of breast border and nipple in digital mammograms.

    abstract::Advances in the area of computerized image analysis applied to mammography may have very important practical applications in automatically detecting asymmetries (masses, architectural distortions, etc.) between the two breasts. We have developed a fully automatic technique to detect the breast border and the nipple, t...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/0169-2607(96)01724-5

    authors: Méndez AJ,Tahoces PG,Lado MJ,Souto M,Correa JL,Vidal JJ

    更新日期:1996-05-01 00:00:00

  • Study of heat transfer on physiological driven movement with CNT nanofluids and variable viscosity.

    abstract:BACKGROUND AND OBJECTIVES:With ongoing interest in CNT nanofluids and materials in biotechnology, energy and environment, microelectronics, composite materials etc., the current investigation is carried out to analyze the effects of variable viscosity and thermal conductivity of CNT nanofluids flow driven by cilia indu...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2016.08.001

    authors: Akbar NS,Kazmi N,Tripathi D,Mir NA

    更新日期:2016-11-01 00:00:00

  • Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

    abstract:BACKGROUND AND OBJECTIVES:Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can distinguish approved drugs from withdrawn ones. We focused on 6 data set...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2017.02.004

    authors: Onay A,Onay M,Abul O

    更新日期:2017-04-01 00:00:00