Deep Learning Assessment of Tumor Proliferation in Breast Cancer
Histological Images

Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016

11 October 2016

Christopher A. Rubadue

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Papers citing "Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images"

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Title
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification Xuenian Wang Shanshan Shi Renao Yan Qiehe Sun Lianghui Zhu Tian Guan Yonghong He 263 3 0 02 Jun 2024
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 344 3 0 26 Jun 2023
Automatic and explainable grading of meningiomas from histopathology images J. Ganz Tobias Kirsch Lucas Hoffmann C. Bertram Christoph Hoffmann Andreas Maier Katharina Breininger I. Blümcke Samir Jabari Marc Aubreville 101 4 0 19 Jul 2021
A Petri Dish for Histopathology Image AnalysisConference on Artificial Intelligence in Medicine in Europe (AIME), 2021 Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Michael Baker Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 213 92 0 29 Jan 2021
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends Naira Elazab Hassan H. Soliman Shaker El-Sappagh S. Islam Mohammed M Elmogy 168 22 0 10 Nov 2020
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Mustafa Nasir-Moin Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 153 53 0 29 Sep 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyMachine Learning for Biomedical Imaging (MLBI), 2019 Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 372 74 0 08 Sep 2019
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification Yuexiang Li Xinpeng Xie LinLin Shen Shaoxiong Liu MedIm 86 4 0 06 Jul 2018
TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading Rene Bidart A. Wong MedIm 70 4 0 22 Jun 2018
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study K. Sirinukunwattana N. K. Alham C. Verrill J. Rittscher 157 43 0 11 Jun 2018
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray Jingxin Liu Bolei Xu C. Zheng Yuanhao Gong J. Garibaldi D. Soria Andew Green I. Ellis Wenbin Zou Guoping Qiu 121 53 0 19 Jan 2018
Machine learning methods for histopathological image analysis D. Komura S. Ishikawa 175 761 0 04 Sep 2017