Using attention-based deep multiple instance learning to identify key genetic alterations in prostate cancer from whole slide images

被引：0

作者：

Omar, Mohamed ^{[1
]}

Xu, Zhuoran ^{[1
]}

Carelli, Ryan ^{[1
]}

Rosenthal, Jacob ^{[2
]}

Brundage, David ^{[1
]}

Salles, Daniela C. ^{[3
]}

Imada, Eddie L. ^{[1
]}

Umeton, Renato ^{[2
]}

Schaeffer, Edward M. ^{[4
]}

Robinson, Brian D. ^{[1
]}

Lotan, Tamara L. ^{[3
]}

Loda, Massimo ^{[1
]}

Marchionni, Luigi ^{[1
]}

机构：

[1] Weill Cornell Med, New York, NY USA

[2] Dana Farber Canc Inst, Boston, MA USA

[3] Johns Hopkins Univ, Baltimore, MD USA

[4] Northwestern Univ, Feinberg Sch Med, Chicago, IL USA

来源：

CANCER RESEARCH | 2022年 / 82卷 / 12期

关键词：

D O I：

暂无

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

462

引用

页数：1

共 50 条

[1] ACTIVE LEARNING ENHANCES CLASSIFICATION OF HISTOPATHOLOGY WHOLE SLIDE IMAGES WITH ATTENTION-BASED MULTIPLE INSTANCE LEARNING
Sadafi, Ario
Navab, Nassir
Marr, Carsten
[J]. 2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI, 2023,
[2] Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
Yao, Jiawen
Zhu, Xinliang
Jonnagaddala, Jitendra
Hawkins, Nicholas
Huang, Junzhou
[J]. MEDICAL IMAGE ANALYSIS, 2020, 65
[3] Robust inference of PTEN deletion in prostate cancer from routine histopathology whole slide images using attention-based deep learning
Scarfo, Federico
Omar, Mohamed
Marchionni, Luigi
[J]. CANCER RESEARCH, 2024, 84 (06)
[4] Attention-based Deep Multiple Instance Learning
Ilse, Maximilian
Tomczak, Jakub M.
Welling, Max
[J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80, 2018, 80
[5] Lung cancer diagnosis using deep attention-based multiple instance learning and radiomics
Chen, Junhua
Zeng, Haiyan
Zhang, Chong
Shi, Zhenwei
Dekker, Andre
Wee, Leonard
Bermejo, Inigo
[J]. MEDICAL PHYSICS, 2022, 49 (05) : 3134 - 3143
[6] ATTENTION-BASED DEEP MULTIPLE INSTANCE LEARNING WITH ADAPTIVE INSTANCE SAMPLING
Tarkhan, Aliasghar
Trung Kien Nguyen
Simon, Noah
Bengtsson, Thomas
Ocampo, Paolo
Dai, Jian
[J]. 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022), 2022,
[7] Classification of colorectal cancer consensus molecular subtypes using attention-based multi-instance learning network on whole-slide images
Xu, Huilin
Wu, Aoshen
Ren, He
Yu, Chenghang
Liu, Gang
Liu, Lei
[J]. ACTA HISTOCHEMICA, 2023, 125 (06)
[8] Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN
Das, Kausik
Conjeti, Sailesh
Chatterjee, Jyotirmoy
Sheet, Debdoot
[J]. IEEE ACCESS, 2020, 8 : 213502 - 213511
[9] Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images
Omar, Mohamed
Xu, Zhuoran
Rand, Sophie B.
Alexanderani, Mohammad K.
Salles, Daniela C.
Valencia, Itzel
Schaeffer, Edward M.
Robinson, Brian D.
Lotan, Tamara L.
Loda, Massimo
Marchionni, Luigi
[J]. MOLECULAR CANCER RESEARCH, 2024, 22 (04) : 347 - 359
[10] Attention-Based Target Localization Using Multiple Instance Learning
Sankaranarayanan, Karthik
Davis, James W.
[J]. ADVANCES IN VISUAL COMPUTING, PT I, 2010, 6453 : 381 - 392

← 1 2 3 4 5 →