Journal of Pathology Informatics Journal of Pathology Informatics
Contact us | Home | Login   |  Users Online: 197  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 

    Article Cited by others


Automated mitosis detection in histopathology using morphological and multi-channel statistics features

Irshad Humayun

Year : 2013| Volume: 4| Issue : 1 | Page no: 10-10

   This article has been cited by
1 Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Angel Cruz-Roa,Hannah Gilmore,Ajay Basavanhally,Michael Feldman,Shridar Ganesan,Natalie N.C. Shih,John Tomaszewski,Fabio A. González,Anant Madabhushi
Scientific Reports. 2017; 7: 46450
[Pubmed]  [Google Scholar] [DOI]
2 Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images
Gehad Ismail Sayed,Aboul Ella Hassanien
Applied Intelligence. 2017;
[Pubmed]  [Google Scholar] [DOI]
3 Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection
Noorul Wahab,Asifullah Khan,Yeon Soo Lee
Computers in Biology and Medicine. 2017; 85: 86
[Pubmed]  [Google Scholar] [DOI]
4 Efficient and robust cell detection: A structured regression approach
Yuanpu Xie,Fuyong Xing,Xiaoshuang Shi,Xiangfei Kong,Hai Su,Lin Yang
Medical Image Analysis. 2017;
[Pubmed]  [Google Scholar] [DOI]
5 Conceptual data sampling for breast cancer histology image classification
Eman Rezk,Zainab Awan,Fahad Islam,Ali Jaoua,Somaya Al Maadeed,Nan Zhang,Gautam Das,Nasir Rajpoot
Computers in Biology and Medicine. 2017; 89: 59
[Pubmed]  [Google Scholar] [DOI]
6 Intra- and inter-observer agreement in histological assessment of canine soft tissue sarcoma
F. W. Yap,R. Rasotto,S. L. Priestnall,K. J. Parsons,J. Stewart
Veterinary and Comparative Oncology. 2017;
[Pubmed]  [Google Scholar] [DOI]
7 Synergies between texture features: an abstract feature based framework for meningioma subtypes classification
Hammad Majeed,Kiran Fatima
Pattern Analysis and Applications. 2017;
[Pubmed]  [Google Scholar] [DOI]
8 Nuclear spatial and spectral features based evolutionary method for meningioma subtypes classification in histopathology
Kiran Fatima,Hammad Majeed,Humayun Irshad
Microscopy Research and Technique. 2017;
[Pubmed]  [Google Scholar] [DOI]
9 Computational approach for mitotic cell detection and its application in oral squamous cell carcinoma
Dev Kumar Das,Pabitra Mitra,Chandan Chakraborty,Sanjoy Chatterjee,Asok Kumar Maiti,Surajit Bose
Multidimensional Systems and Signal Processing. 2017;
[Pubmed]  [Google Scholar] [DOI]
10 Digital image analysis in breast pathology –from image processing techniques to artificial intelligence
Stephanie Robertson,Hossein Azizpour,Kevin Smith,Johan Hartman
Translational Research. 2017;
[Pubmed]  [Google Scholar] [DOI]
11 DCAN: Deep contour-aware networks for object instance segmentation from histology images
Hao Chen,Xiaojuan Qi,Lequan Yu,Qi Dou,Jing Qin,Pheng-Ann Heng
Medical Image Analysis. 2017; 36: 135
[Pubmed]  [Google Scholar] [DOI]
12 Automated Mitosis Detection in Histopathology Based on Non-Gaussian Modeling of Complex Wavelet Coefficients
Tao Wan,Wanshu Zhang,Min Zhu,Jianhui Chen,Alin Achim,Zengchang Qin
Neurocomputing. 2017;
[Pubmed]  [Google Scholar] [DOI]
13 Automatic segmentation of cell nuclei using Krill Herd optimization based multi-thresholding and Localized Active Contour Model
Sabeena Beevi K.,Madhu S. Nair,G.R. Bindu
Biocybernetics and Biomedical Engineering. 2016; 36(4): 584
[Pubmed]  [Google Scholar] [DOI]
14 Using Automated Image Analysis Algorithms to Distinguish Normal, Aberrant, and Degenerate Mitotic Figures Induced by Eg5 Inhibition
Alison L. Bigley,Stephanie K. Klein,Barry Davies,Leigh Williams,Daniel G. Rudmann
Toxicologic Pathology. 2016; 44(5): 663
[Pubmed]  [Google Scholar] [DOI]
15 Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features
Tao Wan,Jiajia Cao,Jianhui Chen,Zengchang Qin
Neurocomputing. 2016;
[Pubmed]  [Google Scholar] [DOI]
16 A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images
Adnan Mujahid Khan,Korsuk Sirinukunwattana,Nasir Rajpoot
IEEE Journal of Biomedical and Health Informatics. 2015; 19(5): 1637
[Pubmed]  [Google Scholar] [DOI]
17 Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images
Angshuman Paul,Dipti Prasad Mukherjee
IEEE Transactions on Image Processing. 2015; 24(11): 4041
[Pubmed]  [Google Scholar] [DOI]
18 Cell words: Modelling the visual appearance of cells in histopathology images
Korsuk Sirinukunwattana,Adnan M. Khan,Nasir M. Rajpoot
Computerized Medical Imaging and Graphics. 2015; 42: 16
[Pubmed]  [Google Scholar] [DOI]
19 Multispectral Band Selection and Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology
H. Irshad,A. Gouaillard,L. Roux,D. Racoceanu
Computerized Medical Imaging and Graphics. 2014;
[Pubmed]  [Google Scholar] [DOI]
20 Breast Cancer Histopathology Image Analysis: A Review
Mitko Veta,Josien P. W. Pluim,Paul J. van Diest,Max A. Viergever
IEEE Transactions on Biomedical Engineering. 2014; 61(5): 1400
[Pubmed]  [Google Scholar] [DOI]
21 Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
Humayun Irshad,Antoine Veillard,Ludovic Roux,Daniel Racoceanu
IEEE Reviews in Biomedical Engineering. 2014; 7: 97
[Pubmed]  [Google Scholar] [DOI]
22 Assessment of algorithms for mitosis detection in breast cancer histopathology images
Mitko Veta,Paul J. van Diest,Stefan M. Willems,Haibo Wang,Anant Madabhushi,Angel Cruz-Roa,Fabio Gonzalez,Anders B.L. Larsen,Jacob S. Vestergaard,Anders B. Dahl,Dan C. Cire?an,Jürgen Schmidhuber,Alessandro Giusti,Luca M. Gambardella,F. Boray Tek,Thomas Walter,Ching-Wei Wang,Satoshi Kondo,Bogdan J. Matuszewski,Frederic Precioso,Violet Snell,Josef Kittler,Teofilo E. de Campos,Adnan M. Khan,Nasir M. Rajpoot,Evdokia Arkoumani,Miangela M. Lacle,Max A. Viergever,Josien P.W. Pluim
Medical Image Analysis. 2014;
[Pubmed]  [Google Scholar] [DOI]
23 Computational Pathology to Discriminate Benign from Malignant Intraductal Proliferations of the Breast
Fei Dong,Humayun Irshad,Eun-Yeong Oh,Melinda F. Lerwill,Elena F. Brachtel,Nicholas C. Jones,Nicholas W. Knoblauch,Laleh Montaser-Kouhsari,Nicole B. Johnson,Luigi K. F. Rao,Beverly Faulkner-Jones,David C. Wilbur,Stuart J. Schnitt,Andrew H. Beck,Anna Sapino
PLoS ONE. 2014; 9(12): e114885
[Pubmed]  [Google Scholar] [DOI]


Read this article