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A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

27 March 2020

Papers citing "A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks"

30 / 30 papers shown

Title
Breast Cancer Diagnosis with Transfer Learning and Global Pooling Sara Hosseinzadeh Kassani P. H. Kassani M. Wesolowski Kevin A. Schneider Ralph Deters 53 78 0 26 Sep 2019
Histopathologic Image Processing: A Review Jonathan de Matos A. Britto L. S. Oliveira Alessandro Lameiras Koerich 44 25 0 16 Apr 2019
Double Transfer Learning for Breast Cancer Histopathologic Image Classification Jonathan de Matos A. Britto Luiz Eduardo Soares de Oliveira Alessandro Lameiras Koerich 40 47 0 16 Apr 2019
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification Bolei Xu Jingxin Liu Xianxu Hou Bozhi Liu J. Garibaldi I. Ellis A. Green Linlin Shen Guoping Qiu 49 29 0 28 Feb 2019
Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images Francisco Perdigon Romero A. Tang Samuel Kadoury 28 18 0 11 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 606 10,590 0 12 Dec 2018
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network Md. Zahangir Alom C. Yakopcic T. Taha V. Asari 43 264 0 10 Nov 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 405 570 0 13 Aug 2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M. Veta Y. Heng N. Stathonikos B. Bejnordi F. Beca ... E. Chang Yan Xu Andrew H. Beck P. Diest J. Pluim 77 263 0 22 Jul 2018
Considerations for a PAP Smear Image Analysis System with CNN Features Srishti Gautam K. HarinarayanK. Nirmal Jith A. Sao Arnav V. Bhavsar A. Natarajan 37 33 0 23 Jun 2018
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks Matthias Kohl C. Walz Florian Ludwig S. Braunewell Maximilian Baust MedIm 134 39 0 09 Apr 2018
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images Hongliu Cao Simon Bernard L. Heutte R. Sabourin 149 60 0 29 Mar 2018
Classification of breast cancer histology images using transfer learning Sulaiman Vesal Nishant Ravikumar Amirabbas Davari S. Ellmann Andreas Maier 42 135 0 26 Feb 2018
Classification of Breast Cancer Histology using Deep Learning Aditya Golatkar Deepak Anand A. Sethi 41 113 0 22 Feb 2018
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images Ruqayya Awan Navid Alemi Koohbanani Muhammad Shaban A. Lisowska Nasir M. Rajpoot 40 62 0 12 Feb 2018
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification Y. S. Vang Zhen Chen Xiaohui Xie 47 100 0 03 Feb 2018
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis Alexander Rakhlin Alexey A. Shvets V. Iglovikov Alexandr A Kalinin 143 310 0 02 Feb 2018
Improved Inception-Residual Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha V. Asari 77 118 0 28 Dec 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,557 0 05 Sep 2017
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images Huangjing Lin Hao Chen Qi Dou Liansheng Wang J. Qin Pheng-Ann Heng MedIm 53 80 0 30 Jul 2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues Talha Qaiser A. Mukherjee Chaitanya Reddy Pb Sai Dileep Munugoti Vamsi Tallam ... G. Bueno David R. J. Snead I. Ellis M. Ilyas Nasir M. Rajpoot 39 121 0 23 May 2017
Inception Recurrent Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha 60 87 0 25 Apr 2017
Detecting Cancer Metastases on Gigapixel Pathology Images Yun-Hui Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger ... Phil Q. Nelson G. Corrado J. Hipp L. Peng Martin C. Stumpe MedIm LM&MA 85 640 0 03 Mar 2017
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images B. Bejnordi Jimmy Lin B. Glass M. Mullooly Gretchen L. Gierach M. Sherman N. Karssemeijer Jeroen van der Laak Andrew H. Beck 40 76 0 19 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 331 19,690 0 21 Nov 2016
Deep Learning for Identifying Metastatic Breast Cancer Dayong Wang A. Khosla Rishab Gargeya H. Irshad Andrew H. Beck MedIm 78 941 0 18 Jun 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 381 14,263 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014