221 related articles for article (PubMed ID: 36318158)
1. MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas.
Cai H; Feng X; Yin R; Zhao Y; Guo L; Fan X; Liao J
J Pathol; 2023 Feb; 259(2):125-135. PubMed ID: 36318158
[TBL] [Abstract][Full Text] [Related]
2. Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning.
Tan L; Li H; Yu J; Zhou H; Wang Z; Niu Z; Li J; Li Z
Med Biol Eng Comput; 2023 Jun; 61(6):1565-1580. PubMed ID: 36809427
[TBL] [Abstract][Full Text] [Related]
3. Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning.
Zhou C; Jin Y; Chen Y; Huang S; Huang R; Wang Y; Zhao Y; Chen Y; Guo L; Liao J
Comput Med Imaging Graph; 2021 Mar; 88():101861. PubMed ID: 33497891
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification.
Javed S; Mahmood A; Qaiser T; Werghi N; Rajpoot N
Med Image Anal; 2024 May; 96():103203. PubMed ID: 38810517
[TBL] [Abstract][Full Text] [Related]
5. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
[TBL] [Abstract][Full Text] [Related]
6. TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.
Sun X; Li W; Fu B; Peng Y; He J; Wang L; Yang T; Meng X; Li J; Wang J; Huang P; Wang R
Comput Methods Programs Biomed; 2023 Dec; 242():107789. PubMed ID: 37722310
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Classification of colorectal cancer consensus molecular subtypes using attention-based multi-instance learning network on whole-slide images.
Xu H; Wu A; Ren H; Yu C; Liu G; Liu L
Acta Histochem; 2023 Aug; 125(6):152057. PubMed ID: 37300984
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images.
Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
EBioMedicine; 2024 Jan; 99():104908. PubMed ID: 38101298
[TBL] [Abstract][Full Text] [Related]
12. Lung Cancer Diagnosis on Virtual Histologically Stained Tissue Using Weakly Supervised Learning.
Chen Z; Wong IHM; Dai W; Lo CTK; Wong TTW
Mod Pathol; 2024 Apr; 37(6):100487. PubMed ID: 38588884
[TBL] [Abstract][Full Text] [Related]
13. Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis.
Yan J; Chen H; Li X; Yao J
Comput Med Imaging Graph; 2022 Apr; 97():102053. PubMed ID: 35306442
[TBL] [Abstract][Full Text] [Related]
14. [Identifying Molecular Subtypes of Whole-Slide Image in Colorectal Cancer via Deep Learning].
Liao J; Feng XB; Wang YH; Guo LC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):686-692. PubMed ID: 34323050
[TBL] [Abstract][Full Text] [Related]
15. Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.
Huang Y; Yao Z; Li L; Mao R; Huang W; Hu Z; Hu Y; Wang Y; Guo R; Tang X; Yang L; Wang Y; Luo R; Yu J; Zhou J
EBioMedicine; 2023 Aug; 94():104706. PubMed ID: 37478528
[TBL] [Abstract][Full Text] [Related]
16. The Swin-Transformer network based on focal loss is used to identify images of pathological subtypes of lung adenocarcinoma with high similarity and class imbalance.
Wang Y; Luo F; Yang X; Wang Q; Sun Y; Tian S; Feng P; Huang P; Xiao H
J Cancer Res Clin Oncol; 2023 Sep; 149(11):8581-8592. PubMed ID: 37097394
[TBL] [Abstract][Full Text] [Related]
17. SSTU: Swin-Spectral Transformer U-Net for hyperspectral whole slide image reconstruction.
Wang Y; Gu Y; Nanding A
Comput Med Imaging Graph; 2024 Jun; 114():102367. PubMed ID: 38522221
[TBL] [Abstract][Full Text] [Related]
18. Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists.
Song Z; Yu C; Zou S; Wang W; Huang Y; Ding X; Liu J; Shao L; Yuan J; Gou X; Jin W; Wang Z; Chen X; Chen H; Liu C; Xu G; Sun Z; Ku C; Zhang Y; Dong X; Wang S; Xu W; Lv N; Shi H
BMJ Open; 2020 Sep; 10(9):e036423. PubMed ID: 32912980
[TBL] [Abstract][Full Text] [Related]
19. Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework.
Khazaee Fadafen M; Rezaee K
Sci Rep; 2023 May; 13(1):8823. PubMed ID: 37258631
[TBL] [Abstract][Full Text] [Related]
20. Data-efficient and weakly supervised computational pathology on whole-slide images.
Lu MY; Williamson DFK; Chen TY; Chen RJ; Barbieri M; Mahmood F
Nat Biomed Eng; 2021 Jun; 5(6):555-570. PubMed ID: 33649564
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]