565 related articles for article (PubMed ID: 35588568)
1. Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
Ghaffari Laleh N; Muti HS; Loeffler CML; Echle A; Saldanha OL; Mahmood F; Lu MY; Trautwein C; Langer R; Dislich B; Buelow RD; Grabsch HI; Brenner H; Chang-Claude J; Alwers E; Brinker TJ; Khader F; Truhn D; Gaisa NT; Boor P; Hoffmeister M; Schulz V; Kather JN
Med Image Anal; 2022 Jul; 79():102474. PubMed ID: 35588568
[TBL] [Abstract][Full Text] [Related]
2. E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image.
Cao L; Wang J; Zhang Y; Rong Z; Wang M; Wang L; Ji J; Qian Y; Zhang L; Wu H; Song J; Liu Z; Wang W; Li S; Wang P; Xu Z; Zhang J; Zhao L; Wang H; Sun M; Huang X; Yin R; Lu Y; Liu Z; Deng K; Wang G; Qiu M; Li K; Wang J; Hou Y
Med Image Anal; 2023 Aug; 88():102837. PubMed ID: 37216736
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.
Bilal M; Raza SEA; Azam A; Graham S; Ilyas M; Cree IA; Snead D; Minhas F; Rajpoot NM
Lancet Digit Health; 2021 Dec; 3(12):e763-e772. PubMed ID: 34686474
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.
Bilal M; Tsang YW; Ali M; Graham S; Hero E; Wahab N; Dodd K; Sahota H; Wu S; Lu W; Jahanifar M; Robinson A; Azam A; Benes K; Nimir M; Hewitt K; Bhalerao A; Eldaly H; Raza SEA; Gopalakrishnan K; Minhas F; Snead D; Rajpoot N
Lancet Digit Health; 2023 Nov; 5(11):e786-e797. PubMed ID: 37890902
[TBL] [Abstract][Full Text] [Related]
5. Weakly-supervised learning for lung carcinoma classification using deep learning.
Kanavati F; Toyokawa G; Momosaki S; Rambeau M; Kozuma Y; Shoji F; Yamazaki K; Takeo S; Iizuka O; Tsuneki M
Sci Rep; 2020 Jun; 10(1):9297. PubMed ID: 32518413
[TBL] [Abstract][Full Text] [Related]
6. Weakly supervised histopathology image segmentation with self-attention.
Li K; Qian Z; Han Y; Chang EI; Wei B; Lai M; Liao J; Fan Y; Xu Y
Med Image Anal; 2023 May; 86():102791. PubMed ID: 36933385
[TBL] [Abstract][Full Text] [Related]
7. Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning.
Teramoto A; Kiriyama Y; Tsukamoto T; Sakurai E; Michiba A; Imaizumi K; Saito K; Fujita H
Sci Rep; 2021 Oct; 11(1):20317. PubMed ID: 34645863
[TBL] [Abstract][Full Text] [Related]
8. Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology.
Schrammen PL; Ghaffari Laleh N; Echle A; Truhn D; Schulz V; Brinker TJ; Brenner H; Chang-Claude J; Alwers E; Brobeil A; Kloor M; Heij LR; Jäger D; Trautwein C; Grabsch HI; Quirke P; West NP; Hoffmeister M; Kather JN
J Pathol; 2022 Jan; 256(1):50-60. PubMed ID: 34561876
[TBL] [Abstract][Full Text] [Related]
9. Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.
Xiang H; Shen J; Yan Q; Xu M; Shi X; Zhu X
Med Image Anal; 2023 Oct; 89():102890. PubMed ID: 37467642
[TBL] [Abstract][Full Text] [Related]
10. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
[TBL] [Abstract][Full Text] [Related]
11. Self-supervised driven consistency training for annotation efficient histopathology image analysis.
Srinidhi CL; Kim SW; Chen FD; Martel AL
Med Image Anal; 2022 Jan; 75():102256. PubMed ID: 34717189
[TBL] [Abstract][Full Text] [Related]
12. Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
Otálora S; Marini N; Müller H; Atzori M
BMC Med Imaging; 2021 May; 21(1):77. PubMed ID: 33964886
[TBL] [Abstract][Full Text] [Related]
13. Deep learning-based framework for slide-based histopathological image analysis.
Kosaraju S; Park J; Lee H; Yang JW; Kang M
Sci Rep; 2022 Nov; 12(1):19075. PubMed ID: 36351997
[TBL] [Abstract][Full Text] [Related]
14. Federated learning for computational pathology on gigapixel whole slide images.
Lu MY; Chen RJ; Kong D; Lipkova J; Singh R; Williamson DFK; Chen TY; Mahmood F
Med Image Anal; 2022 Feb; 76():102298. PubMed ID: 34911013
[TBL] [Abstract][Full Text] [Related]
15. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
[TBL] [Abstract][Full Text] [Related]
16. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
17. Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images.
Dov D; Kovalsky SZ; Assaad S; Cohen J; Range DE; Pendse AA; Henao R; Carin L
Med Image Anal; 2021 Jan; 67():101814. PubMed ID: 33049578
[TBL] [Abstract][Full Text] [Related]
18. Automated curation of large-scale cancer histopathology image datasets using deep learning.
Hilgers L; Ghaffari Laleh N; West NP; Westwood A; Hewitt KJ; Quirke P; Grabsch HI; Carrero ZI; Matthaei E; Loeffler CML; Brinker TJ; Yuan T; Brenner H; Brobeil A; Hoffmeister M; Kather JN
Histopathology; 2024 Jun; 84(7):1139-1153. PubMed ID: 38409878
[TBL] [Abstract][Full Text] [Related]
19. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
Ho C; Zhao Z; Chen XF; Sauer J; Saraf SA; Jialdasani R; Taghipour K; Sathe A; Khor LY; Lim KH; Leow WQ
Sci Rep; 2022 Feb; 12(1):2222. PubMed ID: 35140318
[TBL] [Abstract][Full Text] [Related]
20. Transformer-based unsupervised contrastive learning for histopathological image classification.
Wang X; Yang S; Zhang J; Wang M; Zhang J; Yang W; Huang J; Han X
Med Image Anal; 2022 Oct; 81():102559. PubMed ID: 35952419
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
