235 related articles for article (PubMed ID: 38641744)
1. Demographic bias in misdiagnosis by computational pathology models.
Vaidya A; Chen RJ; Williamson DFK; Song AH; Jaume G; Yang Y; Hartvigsen T; Dyer EC; Lu MY; Lipkova J; Shaban M; Chen TY; Mahmood F
Nat Med; 2024 Apr; 30(4):1174-1190. PubMed ID: 38641744
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study.
Vafaei Sadr A; Bülow R; von Stillfried S; Schmitz NEJ; Pilva P; Hölscher DL; Ha PP; Schweiker M; Boor P
Lancet Digit Health; 2024 Jan; 6(1):e58-e69. PubMed ID: 37996339
[TBL] [Abstract][Full Text] [Related]
4. Deep computational pathology in breast cancer.
Duggento A; Conti A; Mauriello A; Guerrisi M; Toschi N
Semin Cancer Biol; 2021 Jul; 72():226-237. PubMed ID: 32818626
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A General-Purpose Self-Supervised Model for Computational Pathology.
Chen RJ; Ding T; Lu MY; Williamson DFK; Jaume G; Chen B; Zhang A; Shao D; Song AH; Shaban M; Williams M; Vaidya A; Sahai S; Oldenburg L; Weishaupt LL; Wang JJ; Williams W; Le LP; Gerber G; Mahmood F
ArXiv; 2023 Aug; ():. PubMed ID: 37693180
[TBL] [Abstract][Full Text] [Related]
7. Predicting the likelihood of an isocitrate dehydrogenase 1 or 2 mutation in diagnoses of infiltrative glioma.
Chen L; Voronovich Z; Clark K; Hands I; Mannas J; Walsh M; Nikiforova MN; Durbin EB; Weiss H; Horbinski C
Neuro Oncol; 2014 Nov; 16(11):1478-83. PubMed ID: 24860178
[TBL] [Abstract][Full Text] [Related]
8. Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model.
Bae K; Jeon YS; Hwangbo Y; Yoo CW; Han N; Feng M
JMIR Cancer; 2023 Sep; 9():e45547. PubMed ID: 37669090
[TBL] [Abstract][Full Text] [Related]
9. Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features.
Qiu L; Zhao L; Hou R; Zhao W; Zhang S; Lin Z; Teng H; Zhao J
Comput Med Imaging Graph; 2023 Mar; 104():102176. PubMed ID: 36682215
[TBL] [Abstract][Full Text] [Related]
10. Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.
Zhao Y; Wang W; Ji Y; Guo Y; Duan J; Liu X; Yan D; Liang D; Li W; Zhang Z; Li ZC
Am J Pathol; 2024 May; 194(5):747-758. PubMed ID: 38325551
[TBL] [Abstract][Full Text] [Related]
11. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
12. Towards a general-purpose foundation model for computational pathology.
Chen RJ; Ding T; Lu MY; Williamson DFK; Jaume G; Song AH; Chen B; Zhang A; Shao D; Shaban M; Williams M; Oldenburg L; Weishaupt LL; Wang JJ; Vaidya A; Le LP; Gerber G; Sahai S; Williams W; Mahmood F
Nat Med; 2024 Mar; 30(3):850-862. PubMed ID: 38504018
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. A self-supervised contrastive learning approach for whole slide image representation in digital pathology.
Fashi PA; Hemati S; Babaie M; Gonzalez R; Tizhoosh HR
J Pathol Inform; 2022; 13():100133. PubMed ID: 36605114
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
18. Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.
Hong C; Pencina MJ; Wojdyla DM; Hall JL; Judd SE; Cary M; Engelhard MM; Berchuck S; Xian Y; D'Agostino R; Howard G; Kissela B; Henao R
JAMA; 2023 Jan; 329(4):306-317. PubMed ID: 36692561
[TBL] [Abstract][Full Text] [Related]
19. RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion.
Chen SC; Lo CM; Wang SH; Su EC
BMC Bioinformatics; 2019 Dec; 20(Suppl 19):659. PubMed ID: 31870275
[TBL] [Abstract][Full Text] [Related]
20. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]