Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

2 February 2018

Papers citing "Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis"

20 / 20 papers shown

Title
The Performance of Transferability Metrics does not Translate to Medical Tasks Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 37 4 0 14 Aug 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images Tiancheng Lin Zhimiao Yu Hongyu Hu Yi Xu Changyi Chen 62 81 0 13 Mar 2023
Deep Learning Provides Rapid Screen for Breast Cancer Metastasis with Sentinel Lymph Nodes Kareem Allam X. Wang Songlin Zhang Jianmin Ding K. Chiu K. Saluja Amer Wahed Hongxia Sun A. Nguyen MedIm 29 1 0 14 Jan 2023
Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance Mats L. Richter C. Pal 27 3 0 26 Nov 2022
A review of machine learning approaches, challenges and prospects for computational tumor pathology Liangrui Pan Zhichao Feng Shaoliang Peng AI4CE 27 7 0 31 May 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 25 62 0 28 Dec 2021
Gram Barcodes for Histopathology Tissue Texture Retrieval Shalev Lifshitz Abtin Riasatian H. R. Tizhoosh 21 0 0 28 Nov 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading Pouya Hallaj Zavareh Atefeh Safayari Hamidreza Bolhasani 21 9 0 11 Jul 2021
Deep Learning for Automatic Pneumonia Detection Tatiana Gabruseva D. Poplavskiy Alexandr A Kalinin 21 102 0 28 May 2020
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach Sara Hosseinzadeh Kassani P. H. Kassani M. Wesolowski Kevin A. Schneider Ralph Deters OOD 24 316 0 22 Apr 2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks Xiaomin Zhou Chen Li M. Rahaman Yudong Yao Shiliang Ai Changhao Sun Xiaoyan Li Qian Wang Tao Jiang 59 135 0 27 Mar 2020
BoostTree and BoostForest for Ensemble Learning Changming Zhao Dongrui Wu Jian Huang Ye Yuan Hai-Tao Zhang Ruimin Peng Zhenhua Shi 32 33 0 21 Mar 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images Noriaki Hashimoto D. Fukushima R. Koga Yusuke Takagi Kaho Ko K. Kohno Masato Nakaguro S. Nakamura H. Hontani Ichiro Takeuchi MedIm 16 181 0 06 Jan 2020
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding Ming Y. Lu Richard J. Chen Jingwen Wang Debora Dillon Faisal Mahmood SSL 22 94 0 23 Oct 2019
Breast Cancer Diagnosis with Transfer Learning and Global Pooling Sara Hosseinzadeh Kassani P. H. Kassani M. Wesolowski Kevin A. Schneider Ralph Deters 29 77 0 26 Sep 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 L. Shen Guoping Qiu 20 28 0 28 Feb 2019
Deep Learning Approaches for Understanding Simple Speech Commands R. Solovyev Maxim Vakhrushev Alexander Radionov Vladimir Aliev Alexey A. Shvets VLM 22 31 0 04 Oct 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 34 559 0 13 Aug 2018
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks Alexey A. Shvets V. Iglovikov Alexander Rakhlin Alexandr A Kalinin MedIm 25 74 0 21 Apr 2018
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification Alexandr A Kalinin Gerald A. Higgins Narathip Reamaroon S. M. Reza Soroushmehr Ari Allyn-Feuer I. Dinov Kayvan Najarian B. Athey OOD 36 122 0 25 Jan 2018