134 related articles for article (PubMed ID: 38694561)
1. Improving Representation Learning for Histopathologic Images with Cluster Constraints.
Wu W; Gao C; DiPalma J; Vosoughi S; Hassanpour S
Proc IEEE Int Conf Comput Vis; 2023; 2023():21347-21357. PubMed ID: 38694561
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas.
Ding R; Yadav A; Rodriguez E; Araujo Lemos da Silva AC; Hsu W
Comput Biol Med; 2023 Nov; 166():107484. PubMed ID: 37741228
[TBL] [Abstract][Full Text] [Related]
5. Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation.
Wang L; Jiang Z; Shao A; Liu Z; Gu R; Ge R; Jia G; Wang Y; Ye J
Front Med (Lausanne); 2022; 9():976467. PubMed ID: 36237543
[TBL] [Abstract][Full Text] [Related]
6. Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images.
Tayebi Arasteh S; Misera L; Kather JN; Truhn D; Nebelung S
Eur Radiol Exp; 2024 Feb; 8(1):10. PubMed ID: 38326501
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. DEPICTER: Deep representation clustering for histology annotation.
Chelebian E; Avenel C; Ciompi F; Wählby C
Comput Biol Med; 2024 Mar; 170():108026. PubMed ID: 38308865
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Weakly supervised joint whole-slide segmentation and classification in prostate cancer.
Pati P; Jaume G; Ayadi Z; Thandiackal K; Bozorgtabar B; Gabrani M; Goksel O
Med Image Anal; 2023 Oct; 89():102915. PubMed ID: 37633177
[TBL] [Abstract][Full Text] [Related]
11. Masked autoencoders with handcrafted feature predictions: Transformer for weakly supervised esophageal cancer classification.
Bai Y; Li W; An J; Xia L; Chen H; Zhao G; Gao Z
Comput Methods Programs Biomed; 2024 Feb; 244():107936. PubMed ID: 38016392
[TBL] [Abstract][Full Text] [Related]
12. SGCL: Spatial guided contrastive learning on whole-slide pathological images.
Lin T; Yu Z; Xu Z; Hu H; Xu Y; Chen CW
Med Image Anal; 2023 Oct; 89():102845. PubMed ID: 37597317
[TBL] [Abstract][Full Text] [Related]
13. Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer.
Shao Z; Dai L; Jonnagaddala J; Chen Y; Wang Y; Fang Z; Zhang Y
JCO Clin Cancer Inform; 2023 Sep; 7():e2200178. PubMed ID: 37703507
[TBL] [Abstract][Full Text] [Related]
14. Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).
Nurzynska K; Li D; Walts AE; Gertych A
Comput Methods Programs Biomed; 2023 Jun; 234():107518. PubMed ID: 37018884
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Cluster-based histopathology phenotype representation learning by self-supervised multi-class-token hierarchical ViT.
Ye J; Kalra S; Miri MS
Sci Rep; 2024 Feb; 14(1):3202. PubMed ID: 38331955
[TBL] [Abstract][Full Text] [Related]
17. CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images.
Yang P; Yin X; Lu H; Hu Z; Zhang X; Jiang R; Lv H
Med Image Anal; 2022 Oct; 81():102539. PubMed ID: 35926337
[TBL] [Abstract][Full Text] [Related]
18. Iterative multiple instance learning for weakly annotated whole slide image classification.
Zhou Y; Che S; Lu F; Liu S; Yan Z; Wei J; Li Y; Ding X; Lu Y
Phys Med Biol; 2023 Jul; 68(15):. PubMed ID: 37311470
[No Abstract] [Full Text] [Related]
19. RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval.
Wang X; Du Y; Yang S; Zhang J; Wang M; Zhang J; Yang W; Huang J; Han X
Med Image Anal; 2023 Jan; 83():102645. PubMed ID: 36270093
[TBL] [Abstract][Full Text] [Related]
20. Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.
Zheng T; Chen W; Li S; Quan H; Zou M; Zheng S; Zhao Y; Gao X; Cui X
Comput Med Imaging Graph; 2023 Sep; 108():102275. PubMed ID: 37567046
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
