Journal of Pathology Informatics Journal of Pathology Informatics
Contact us | Home | Login   |  Users Online: 648  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 


This article has been cited by
1A Fuzzy Segmentation Method to Learn Classification of Mitosis
Maxwell Hwang,Da Wang,Cai Wu,Wei-Cheng Jiang,Xiang-Xing Kong,Kao-Shing Hwang,Kefeng Ding
International Journal of Fuzzy Systems.2020;22(5)1653
[DOI]
2Image Montaging for Creating a Virtual Pathology Slide: An Innovative and Economical Tool to Obtain a Whole Slide Image
Spoorthi Ravi Banavar,Prashanthi Chippagiri,Rohit Pandurangappa,Saileela Annavajjula,Premalatha Bidadi Rajashekaraiah
Analytical Cellular Pathology.2016;2016(5)1
[DOI]
3Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study
Ezgi Mercan,Selim Aksoy,Linda G. Shapiro,Donald L. Weaver,Tad T. Brunyé,Joann G. Elmore
Journal of Digital Imaging.2016;29(4)496
[DOI]
4Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images
Gehad Ismail Sayed,Aboul Ella Hassanien
Applied Intelligence.2017;47(2)397
[DOI]
5Methods 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(2)97
[DOI]
6Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
Ramin Nateghi,Habibollah Danyali,Mohammad SadeghHelfroush,Fattaneh Pourak Pour
IEEE Reviews in Biomedical Engineering.2014;7(2)1
[DOI]
7Breast 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
[DOI]
8Breast Cancer Histopathology Image Analysis: A Review
D. Saranyaraj,M. Manikandan
IEEE Transactions on Biomedical Engineering.2017;61(5)1
[DOI]
9Automatic mitosis detection in breast histopathology images using Convolutional Neural Network based deep transfer learning
K. Sabeena Beevi,Madhu S. Nair,G.R. Bindu
Biocybernetics and Biomedical Engineering.2019;39(1)214
[DOI]
10Multispectral 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;38(5)390
[DOI]
11An alternative reference space for H&E color normalization
Mark D. Zarella,Chan Yeoh,David E. Breen,Fernando U. Garcia,Abhijit De
PLOS ONE.2017;12(3)e0174489
[DOI]
12A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity
Peijie Yin,Hong Qiao,Wei Wu,Lu Qi,Yinlin Li,Shanlin Zhong,Bo Zhang
IEEE Transactions on Cognitive and Developmental Systems.2018;10(2)420
[DOI]
13Efficient deep learning model for mitosis detection using breast histopathology images
Monjoy Saha,Chandan Chakraborty,Daniel Racoceanu
Computerized Medical Imaging and Graphics.2018;64(2)29
[DOI]
14Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
Jun Xu,Lei Xiang,Qingshan Liu,Hannah Gilmore,Jianzhong Wu,Jinghai Tang,Anant Madabhushi
IEEE Transactions on Medical Imaging.2016;35(1)119
[DOI]
15Spatiotemporal Joint Mitosis Detection Using CNN-LSTM Network in Time-Lapse Phase Contrast Microscopy Images
Yu-Ting Su,Yao Lu,Mei Chen,An-An Liu
IEEE Access.2017;5(1)18033
[DOI]
16Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
Jia-Mei Chen,Yan Li,Jun Xu,Lei Gong,Lin-Wei Wang,Wen-Lou Liu,Juan Liu
Tumor Biology.2017;39(3)101042831769455
[DOI]
17Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
Yibao Sun,Xingru Huang,Edgar Giussepi Lopez Molina,Le Dong,Qianni Zhang
Tumor Biology.2020;39(3)490
[DOI]
18Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
Ruqayya Awan,Nada Aloraidi,Uvais Qidwai,Nasir Rajpoot
Tumor Biology.2016;39(3)70
[DOI]
19A survey on automated cancer diagnosis from histopathology images
J. Angel Arul Jothi,V. Mary Anita Rajam
Artificial Intelligence Review.2017;48(1)31
[DOI]
20A survey on automated cancer diagnosis from histopathology images
Alok Kumar Jain,Shyam Lal
Artificial Intelligence Review.2019;904(1)473
[DOI]
21Automated 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;237(1)291
[DOI]
22Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
Shahab Ensafi,Shijian Lu,Ashraf A. Kassim,Chew Lim Tan
Neurocomputing.2014;237(1)3321
[DOI]
23Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
Ashkan Tashk,Mohammad Sadegh Helfroush,Habibollah Danyali,Mojgan Akbarzadeh-Jahromi
Neurocomputing.2014;237(1)1925
[DOI]
24Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
Angshuman Paul,Dipti Prasad Mukherjee
Neurocomputing.2014;237(1)1
[DOI]
25Histopathological image classification through discriminative feature learning and mutual information-based multi-channel joint sparse representation
Xiao. Li,Hongzhong. Tang,Dongbo. Zhang,Ting. Liu,Lizhen. Mao,Tianyu. Chen
Journal of Visual Communication and Image Representation.2020;70(1)102799
[DOI]
26Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading
Gabriel Jiménez,Daniel Racoceanu
Frontiers in Bioengineering and Biotechnology.2019;7(1)102799
[DOI]
27Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading
Boqian Wu,Tasleem Kausar,Qiao Xiao,Mingjiang Wang,Wenfeng Wang,Binwen Fan,Dandan Sun
Frontiers in Bioengineering and Biotechnology.2017;723(1)249
[DOI]
28Automated image analysis of nuclear atypia in high-power field histopathological image
CHENG LU,MENGYAO JI,ZHEN MA,MRINAL MANDAL
Journal of Microscopy.2015;258(3)233
[DOI]
29Automated image analysis of nuclear atypia in high-power field histopathological image
Branislav Vuksanovic,Jianhong Zhou,Antanas Verikas,Abdülkadir Albayrak,Gökhan Bilgin
Journal of Microscopy.2013;9067(3)90670L
[DOI]
30Intelligent CAD System for Automatic Detection of Mitotic Cells from Breast Cancer Histology Slide Images Based on Teaching-Learning-Based Optimization
Ramin Nateghi,Habibollah Danyali,Mohammad Sadegh Helfroush,Ashkan Tashk
Computational Biology Journal.2014;2014(3)1
[DOI]
31A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks
K. Sabeena Beevi,Madhu S. Nair,G. R. Bindu
IEEE Journal of Translational Engineering in Health and Medicine.2017;5(3)1
[DOI]
32A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks
Metin N. Gurcan,Anant Madabhushi,Haibo Wang,Angel Cruz-Roa,Ajay Basavanhally,Hannah Gilmore,Natalie Shih,Mike Feldman,John Tomaszewski,Fabio Gonzalez,Anant Madabhushi
IEEE Journal of Translational Engineering in Health and Medicine.2014;9041(3)90410B
[DOI]
33Mitotic Cell Detection in Breast Histopathology Image: A Review
Tan Xiao Jian,Mustafa Nazahah,Mashor Mohd Yusoff,Ab Rahman Khairul Shakir
Journal of Physics: Conference Series.2019;1372(3)012026
[DOI]
34Mitotic Cell Detection in Breast Histopathology Image: A Review
Kaili Cheng,Jiarui Sun,Xuesong Chen,Yanbo Ma,Mengjie Bai,Yong Zhao
Journal of Physics: Conference Series.2019;11439(3)453
[DOI]
35Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images
Angshuman Paul,Dipti Prasad Mukherjee
IEEE Transactions on Image Processing.2015;24(11)4041
[DOI]
36Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images
Fattaneh Pourakpour,Hassan Ghassemian
IEEE Transactions on Image Processing.2015;24(11)269
[DOI]
37Analysis of HMAX Algorithm on Black Bar Image Dataset
Alessandro Carlini,Olivier Boisard,Michel Paindavoine
Electronics.2020;9(4)567
[DOI]
38Maximized Inter-Class Weighted Mean for Fast and Accurate Mitosis Cells Detection in Breast Cancer Histopathology Images
Ramin Nateghi,Habibollah Danyali,Mohammad Sadegh Helfroush
Journal of Medical Systems.2017;41(9)567
[DOI]
  Feedback 
  Subscribe 
  Advertise 
  Search 
  Advanced Search 

Submit articles
Most popular articles
Joiu us as a reviewer
Email alerts
Recommend this journal
JPI Blogs