Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

23 May 2017

Papers citing "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification"

50 / 83 papers shown

Title
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning Jiuyang Dong Junjun Jiang Kui Jiang Jiahan Li Yongbing Zhang 102 0 0 28 Feb 2025
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 95 3 0 08 Jan 2025
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 77 1 0 08 Jun 2024
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics Ammar A. Siddiqui Santosh Tirunagari Tehseen Zia David Windridge MedIm 91 1 0 02 Jan 2024
Multiple Instance Learning for Uplift Modeling Yao Zhao Haipeng Zhang Shiwei Lyu Ruiying Jiang Jinjie Gu Guannan Zhang 74 2 0 15 Dec 2023
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification Renao Yan Qiehe Sun Cheng Jin Yiqing Liu Yonghong He Tian Guan Hao Chen 116 13 0 09 Dec 2023
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification Peijie Qiu Pan Xiao Wenhui Zhu Yalin Wang Aristeidis Sotiras 105 5 0 31 Oct 2023
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images Pablo Morales-Álvarez Arne Schmidt José Miguel Hernández-Lobato Rafael Molina 54 9 0 30 Oct 2023
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods Vicente Sampaio F. Cordeiro 69 3 0 07 Aug 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening Yijun Yang Shujun Wang Lihao Liu S. Hickman F. Gilbert Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 38 6 0 02 Aug 2023
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification Zhiwei Wang Junlin Xian Kangyi Liu Xin Li Qiang Li Xin Yang 38 4 0 19 Jun 2023
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification S. Javed Arif Mahmood Talha Qaiser J. Bingler Markus Leippold ViT MedIm 72 8 0 03 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 108 60 0 13 Apr 2023
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation Wenjie Zhu Peijie Qiu Natasha Lepore Oana Dumitrascu Yalin Wang 70 13 0 12 Oct 2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models Chong Wang Yuanhong Chen Yuyuan Liu Yu Tian Fengbei Liu Davis J. McCarthy M. Elliott Helen Frazer G. Carneiro 114 20 0 26 Sep 2022
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning R. Gupta Shivani Nandgaonkar Nikhil Cherian Kurian S. Rane A. Sethi MedIm 56 8 0 26 Aug 2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification Qi Bi Beichen Zhou K. Qin Qinghao Ye Guisong Xia 89 40 0 06 May 2022
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies M. Zaheer Jin-ha Lee Arif Mahmood Marcella Astrid Seung-Ik Lee AAML 75 17 0 25 Mar 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification Hongrun Zhang Y. Meng Yitian Zhao Yihong Qiao Xiaoyun Yang Sarah E Coupland Yalin Zheng 123 297 0 22 Mar 2022
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study Lidia Garrucho Kaisar Kushibar Socayna Jouide Oliver Díaz Laura Igual Karim Lekadir OOD 83 7 0 27 Jan 2022
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides Feng Xu Chuang Zhu Wenqi Tang Ying Wang Yu Zhang Jie Li Hongchuan Jiang Z. Shi Jun Liu M. Jin 76 48 0 04 Dec 2021
Multi-task fusion for improving mammography screening data classification M. Wimmer Gert Sluiter David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Katja Bühler 52 10 0 01 Dec 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis Kangning Liu Yiqiu Shen Nan Wu Jakub Chledowski C. Fernandez‐Granda Krzysztof J. Geras 100 23 0 13 Jun 2021
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson 28 1 0 29 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification Xuan Gong Xin Xia Wentao Zhu Baochang Zhang David Doermann Lian Zhuo OOD MedIm 68 25 0 07 Dec 2020
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification Shujun Wang Yaxi Zhu Lequan Yu Hao Chen Huangjing Lin Xiangbo Wan Xinjuan Fan Pheng-Ann Hen 97 145 0 13 Oct 2020
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review Yuliana Jiménez-Gaona María José Rodríguez-Álvarez Vasudevan Lakshminarayanan 60 71 0 30 Sep 2020
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification Chu-ran Wang Jing Li Fandong Zhang Xinwei Sun Hao Dong Yizhou Yu Yizhou Wang GAN MedIm 42 15 0 30 Sep 2020
Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans Lukas Hirsch Yu Huang Shaojun Luo Carolina Rossi Saccarelli Roberto Lo Gullo ... Pierre Elnajjar Elizabeth A. Morris H. Makse Lucas C. Parra Elizabeth J. Sutton MedIm 56 32 0 21 Sep 2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms Nan Wu Zhe Huang Yiqiu Shen Jungkyu Park Jason Phang ... S. G. Kim Kyunghyun Cho Laura Heacock Linda Moy Krzysztof J. Geras 62 5 0 19 Sep 2020
Sharp Multiple Instance Learning for DeepFake Video Detection Xiaodan Li Yining Lang YueFeng Chen Xiaofeng Mao Yuan He Shuhui Wang Hui Xue Quan Lu AAML 111 175 0 11 Aug 2020
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson 75 54 0 07 Aug 2020
Studying The Effect of MIL Pooling Filters on MIL Tasks Mustafa Umit Oner Jared Marc Song Kye-Jet H. Lee Wing-Kin Sung 68 6 0 02 Jun 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms Chandra K. Sarath A. Chakravarty N. Ghosh Tandra Sarkar Ramanathan Sethuraman Debdoot Sheet MedIm 31 11 0 24 Apr 2020
Weakly supervised multiple instance learning histopathological tumor segmentation Marvin Lerousseau Maria Vakalopoulou Marion Classe J. Adam Enzo Battistella Alexandre Carré Théo Estienne T. Henry Eric Deutsch Nikos Paragios 97 96 0 10 Apr 2020
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification Marianne de Vriendt P. Sellars Angelica I Aviles-Rivero GNN 27 0 0 13 Mar 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Yiqiu Shen Nan Wu Jason Phang Jungkyu Park Kangning Liu ... Laura Heacock S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 100 170 0 13 Feb 2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning Evan Schwab A. Gooßen Hrishikesh Deshpande A. Saalbach 55 20 0 23 Jan 2020
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis Sadanand Singh Thomas P. Matthews Meet Shah Brent Mombourquette Trevor Tsue Aaron Long Ranya Almohsen S. Pedemonte Jason Su 59 19 0 23 Jan 2020
A Proposal-based Approach for Activity Image-to-Video Retrieval Ruicong Xu Li Niu Jianfu Zhang Liqing Zhang 28 19 0 24 Nov 2019
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection Samuel W. Remedios Zihao Wu Camilo Bermudez Cailey I. Kerley Snehashis Roy Mayur B. Patel J. Butman Bennett A. Landman Dzung L. Pham 47 8 0 13 Nov 2019
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem Sergey Pavlov Alexey Artemov M. Sharaev A. Bernstein Evgeny Burnaev 138 6 0 05 Nov 2019
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images Deepta Rajan David Beymer Shafiq Abedin E. Dehghan 58 27 0 05 Oct 2019
Localization with Limited Annotation for Chest X-rays Eyal Rozenberg Daniel Freedman A. Bronstein 54 17 0 19 Sep 2019
Anomaly Detection with Inexact Labels Tomoharu Iwata Machiko Toyoda Shotaro Tora N. Ueda 39 16 0 11 Sep 2019
Multiple instance dense connected convolution neural network for aerial image scene classification Qi Bi K. Qin Zhili Li Han Zhang Kai Xu 99 114 0 22 Aug 2019
Unsupervised Task Design to Meta-Train Medical Image Classifiers Gabriel Maicas Cuong C. Nguyen F. Motlagh Jacinto C. Nascimento G. Carneiro 19 4 0 17 Jul 2019
Multi-Instance Multi-Scale CNN for Medical Image Classification Shaohua Li Yong Liu Xiuchao Sui Cheng Chen Gabriel Tjio Daniel Ting Rick Siow Mong Goh 45 49 0 04 Jul 2019
Cross-view Relation Networks for Mammogram Mass Detection Jiechao Ma Sen Liang Xiang Li Hongwei Bran Li Bjoern Menze Rongguo Zhang Weishi Zheng 112 30 0 01 Jul 2019
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson MedIm 150 15 0 30 Jun 2019