A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer

30 May 2018

Papers citing "A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer"

22 / 22 papers shown

Title
Weak-to-Strong Generalization under Distribution Shifts Myeongho Jeon Jan Sobotka Suhwan Choi Maria Brbić OOD 184 0 0 24 Oct 2025
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out Tristan Piater Niklas Penzel Gideon Stein Joachim Denzler 243 2 0 18 Apr 2024
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project Md Abdul Kadir Hasan Md Tusfiqur Alam Pascale Maul H. Profitlich Moritz Wolf Daniel Sonntag VLM MedIm 139 0 0 22 Mar 2024
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Md Abdul Kadir Hasan Md Tusfiqur Alam Daniel Sonntag 237 10 0 20 Jul 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2023 Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 362 89 0 13 Apr 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous DataInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Yinsheng He Xingyu Li MedIm 154 3 0 18 Mar 2023
Evaluating histopathology transfer learning with ChampKit Jakub R. Kaczmarzyk Tahsin M. Kurc Shahira Abousamra Rajarsi R. Gupta Joel H. Saltz Peter K. Koo VLM MedIm 178 9 0 14 Jun 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutationJournal of Pathology Informatics (J Pathol Inform), 2022 D. J. Ho M. Chui Chad M. Vanderbilt J. Jung M. Robson Chan-Sik Park Jin Roh Thomas J. Fuchs 349 31 0 28 Mar 2022
Bag of Visual Words (BoVW) with Deep Features -- Patch Classification Model for Limited Dataset of Breast Tumours S. Tripathi S. Singh H. Lee 228 8 0 22 Feb 2022
Efficient Classification of Very Large Images with Tiny ObjectsComputer Vision and Pattern Recognition (CVPR), 2021 Fanjie Kong Ricardo Henao 252 37 0 04 Jun 2021
A Survey of Deep Active LearningACM Computing Surveys (ACM CSUR), 2020 Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 364 1,321 0 30 Aug 2020
Self-similarity Student for Partial Label Histopathology Image SegmentationEuropean Conference on Computer Vision (ECCV), 2020 Hsien-Tzu Cheng Chun-Fu Yeh Po-Chen Kuo Andy Wei Keng-Chi Liu Mong-Chi Ko Kuan-Hua Chao Yu-Ching Peng Tyng-Luh Liu 187 21 0 19 Jul 2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment D. J. Ho Narasimhan P. Agaram P. Schueffler Chad M. Vanderbilt M. Jean M. Hameed Thomas J. Fuchs 135 39 0 02 Jul 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and AnalysisScientific Reports (Sci Rep), 2020 Mahendra Khened Avinash Kori Haran Rajkumar Balaji Srinivasan Ganapathy Krishnamurthi MedIm LM&MA 572 193 0 01 Jan 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 372 643 0 28 Dec 2019
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation D. J. Ho D. V. K. Yarlagadda Timothy D’alfonso M. Hanna Anne Grabenstetter Peter Ntiamoah E. Brogi L. Tan Thomas J. Fuchs 167 115 0 29 Oct 2019
Multi-Stage Pathological Image Classification using Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2019 Shusuke Takahama Y. Kurose Yusuke Mukuta Hiroyuki Abe M. Fukayama Akihiko Yoshizawa M. Kitagawa Tatsuya Harada 156 51 0 10 Oct 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images Nick Pawlowski Suvrat Bhooshan Nicolas Ballas F. Ciompi Ben Glocker M. Drozdzal 169 23 0 16 Aug 2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast CancerAmerican Journal of Pathology (Am J Pathol), 2019 H. Le Rajarsi R. Gupta L. Hou Shahira Abousamra Danielle Fassler ... A. Dyke Ashish Sharma Erich Bremer Jonas S. Almeida Joel H. Saltz 189 107 0 26 May 2019
Self-Supervised Similarity Learning for Digital Pathology J. Gildenblat Eldad Klaiman SSL 203 51 0 20 May 2019
Learning Loss for Active LearningComputer Vision and Pattern Recognition (CVPR), 2019 Donggeun Yoo In So Kweon UQCV 265 743 0 09 May 2019
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 Zixu Zhao Huangjing Lin Hao Chen Pheng-Ann Heng 176 28 0 03 May 2019