148 related articles for article (PubMed ID: 35890924)
1. Non-Deep Active Learning for Deep Neural Networks.
Kawano Y; Nota Y; Mochizuki R; Aoki Y
Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35890924
[TBL] [Abstract][Full Text] [Related]
2. Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images.
Zhuang M; Chen Z; Wang H; Tang H; He J; Qin B; Yang Y; Jin X; Yu M; Jin B; Li T; Kettunen L
Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):379-394. PubMed ID: 36048319
[TBL] [Abstract][Full Text] [Related]
3. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
Xiao Z; Su Y; Deng Z; Zhang W
Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
[TBL] [Abstract][Full Text] [Related]
4. Biologically motivated learning method for deep neural networks using hierarchical competitive learning.
Shinozaki T
Neural Netw; 2021 Dec; 144():271-278. PubMed ID: 34520937
[TBL] [Abstract][Full Text] [Related]
5. Active learning using deep Bayesian networks for surgical workflow analysis.
Bodenstedt S; Rivoir D; Jenke A; Wagner M; Breucha M; Müller-Stich B; Mees ST; Weitz J; Speidel S
Int J Comput Assist Radiol Surg; 2019 Jun; 14(6):1079-1087. PubMed ID: 30968355
[TBL] [Abstract][Full Text] [Related]
6. Unlabeled data selection for active learning in image classification.
Li X; Wang X; Chen X; Lu Y; Fu H; Wu YC
Sci Rep; 2024 Jan; 14(1):424. PubMed ID: 38172266
[TBL] [Abstract][Full Text] [Related]
7. Interpolation consistency training for semi-supervised learning.
Verma V; Kawaguchi K; Lamb A; Kannala J; Solin A; Bengio Y; Lopez-Paz D
Neural Netw; 2022 Jan; 145():90-106. PubMed ID: 34735894
[TBL] [Abstract][Full Text] [Related]
8. Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning.
Yang H; Shan C; Bouwman A; Dekker LRC; Kolen AF; de With PHN
IEEE J Biomed Health Inform; 2022 Feb; 26(2):762-773. PubMed ID: 34347611
[TBL] [Abstract][Full Text] [Related]
9. Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
Wang X; Chen H; Xiang H; Lin H; Lin X; Heng PA
Med Image Anal; 2021 May; 70():102010. PubMed ID: 33677262
[TBL] [Abstract][Full Text] [Related]
10. Learning low-dose CT degradation from unpaired data with flow-based model.
Liu X; Liang X; Deng L; Tan S; Xie Y
Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
[TBL] [Abstract][Full Text] [Related]
11. Using pseudo-labeling to improve performance of deep neural networks for animal identification.
Ferreira REP; Lee YJ; Dórea JRR
Sci Rep; 2023 Aug; 13(1):13875. PubMed ID: 37620446
[TBL] [Abstract][Full Text] [Related]
12. A novel biomedical image indexing and retrieval system via deep preference learning.
Pang S; Orgun MA; Yu Z
Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
[TBL] [Abstract][Full Text] [Related]
13. Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images.
Brehar R; Mitrea DA; Vancea F; Marita T; Nedevschi S; Lupsor-Platon M; Rotaru M; Badea RI
Sensors (Basel); 2020 May; 20(11):. PubMed ID: 32485986
[TBL] [Abstract][Full Text] [Related]
14. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
[TBL] [Abstract][Full Text] [Related]
15. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
16. DARC: Deep adaptive regularized clustering for histopathological image classification.
Li J; Liu J; Yue H; Cheng J; Kuang H; Bai H; Wang Y; Wang J
Med Image Anal; 2022 Aug; 80():102521. PubMed ID: 35780594
[TBL] [Abstract][Full Text] [Related]
17. Semi-supervised learning for an improved diagnosis of COVID-19 in CT images.
Han CH; Kim M; Kwak JT
PLoS One; 2021; 16(4):e0249450. PubMed ID: 33793650
[TBL] [Abstract][Full Text] [Related]
18. The Role of Knowledge Creation-Oriented Convolutional Neural Network in Learning Interaction.
Zhang H; Luo X
Comput Intell Neurosci; 2022; 2022():6493311. PubMed ID: 35341199
[TBL] [Abstract][Full Text] [Related]
19. Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye.
Cheng X; Ren Y; Cheng K; Cao J; Hao Q
Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32370162
[TBL] [Abstract][Full Text] [Related]
20. Reliable Label-Efficient Learning for Biomedical Image Recognition.
Gu Y; Shen M; Yang J; Yang GZ
IEEE Trans Biomed Eng; 2019 Sep; 66(9):2423-2432. PubMed ID: 30596566
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]