156 related articles for article (PubMed ID: 37703507)
1. 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]
2. 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]
3. Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping.
Ogidi FC; Eramian MG; Stavness I
Plant Phenomics; 2023; 5():0037. PubMed ID: 37040288
[TBL] [Abstract][Full Text] [Related]
4. Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning.
Dominic J; Bhaskhar N; Desai AD; Schmidt A; Rubin E; Gunel B; Gold GE; Hargreaves BA; Lenchik L; Boutin R; Chaudhari AS
Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829701
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A self-supervised fusion network for carotid plaque ultrasound image classification.
Zhang Y; Gan H; Wang F; Cheng X; Wu X; Yan J; Yang Z; Zhou R
Math Biosci Eng; 2024 Jan; 21(2):3110-3128. PubMed ID: 38454721
[TBL] [Abstract][Full Text] [Related]
7. Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining.
Guo Z; Islam NU; Gotway MB; Liang J
Domain Adapt Represent Transf (2022); 2022 Sep; 13542():66-76. PubMed ID: 36507899
[TBL] [Abstract][Full Text] [Related]
8. Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning.
Guo Z; Islam NU; Gotway MB; Liang J
Med Image Anal; 2024 Jul; 95():103159. PubMed ID: 38663318
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging.
Albelwi S
Entropy (Basel); 2022 Apr; 24(4):. PubMed ID: 35455214
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Semi-supervised oblique predictive clustering trees.
Stepišnik T; Kocev D
PeerJ Comput Sci; 2021; 7():e506. PubMed ID: 33987461
[TBL] [Abstract][Full Text] [Related]
13. Dive into the details of self-supervised learning for medical image analysis.
Zhang C; Zheng H; Gu Y
Med Image Anal; 2023 Oct; 89():102879. PubMed ID: 37453236
[TBL] [Abstract][Full Text] [Related]
14. Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images.
Song Z; Du P; Yan J; Li K; Shou J; Lai M; Fan Y; Xu Y
IEEE Trans Med Imaging; 2024 Jan; 43(1):459-472. PubMed ID: 37647175
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy.
Srinivasan V; Strodthoff N; Ma J; Binder A; Müller KR; Samek W
PLoS One; 2022; 17(10):e0274291. PubMed ID: 36256665
[TBL] [Abstract][Full Text] [Related]
17. Semi-supervised learning to improve generalizability of risk prediction models.
Chi S; Li X; Tian Y; Li J; Kong X; Ding K; Weng C; Li J
J Biomed Inform; 2019 Apr; 92():103117. PubMed ID: 30738948
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Pyramid-based self-supervised learning for histopathological image classification.
Wang J; Quan H; Wang C; Yang G
Comput Biol Med; 2023 Oct; 165():107336. PubMed ID: 37708715
[TBL] [Abstract][Full Text] [Related]
20. Using self-supervised feature learning to improve the use of pulse oximeter signals to predict paediatric hospitalization.
Mwaniki P; Kamanu T; Akech S; Dunsmuir D; Ansermino JM; Eijkemans MJC
Wellcome Open Res; 2021; 6():248. PubMed ID: 37346816
[No Abstract] [Full Text] [Related]
[Next] [New Search]
