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

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

23 May 2017
Wentao Zhu
Qi Lou
Y. S. Vang
Xiaohui Xie
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
S. Javed
Arif Mahmood
Talha Qaiser
J. Bingler
Markus Leippold
ViTMedIm
72
8
0
03 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
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
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
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
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
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
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
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
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
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
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
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
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
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong
Xin Xia
Wentao Zhu
Baochang Zhang
David Doermann
Lian Zhuo
OODMedIm
68
25
0
07 Dec 2020
RMDL: Recalibrated multi-instance deep learning for whole slide gastric
  image classification
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
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
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Chu-ran Wang
Jing Li
Fandong Zhang
Xinwei Sun
Hao Dong
Yizhou Yu
Yizhou Wang
GANMedIm
42
15
0
30 Sep 2020
Radiologist-level Performance by Using Deep Learning for Segmentation of
  Breast Cancers on MRI Scans
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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