73 related articles for article (PubMed ID: 35994871)
1. Classification of myocardial fibrosis in DE-MRI based on semi-supervised semantic segmentation and dual attention mechanism.
Ding Y; Xie W; Wong KKL; Liao Z
Comput Methods Programs Biomed; 2022 Oct; 225():107041. PubMed ID: 35994871
[TBL] [Abstract][Full Text] [Related]
2. Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images.
Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E
Comput Med Imaging Graph; 2024 Jul; 115():102383. PubMed ID: 38643551
[TBL] [Abstract][Full Text] [Related]
3. Linear semantic transformation for semi-supervised medical image segmentation.
Chen C; Chen Y; Li X; Ning H; Xiao R
Comput Biol Med; 2024 May; 173():108331. PubMed ID: 38522252
[TBL] [Abstract][Full Text] [Related]
4. Semi-supervised medical image segmentation via feature similarity and reliable-region enhancement.
Long J; Yang C; Ren Y; Zeng Z
Comput Biol Med; 2023 Dec; 167():107668. PubMed ID: 37931524
[TBL] [Abstract][Full Text] [Related]
5. A Weakly Supervised Semantic Segmentation Model of Maize Seedlings and Weed Images Based on Scrawl Labels.
Zhao L; Zhao Y; Liu T; Deng H
Sensors (Basel); 2023 Dec; 23(24):. PubMed ID: 38139690
[TBL] [Abstract][Full Text] [Related]
6. Weakly supervised learning for multi-class medical image segmentation via feature decomposition.
Kuang Z; Yan Z; Yu L
Comput Biol Med; 2024 Mar; 171():108228. PubMed ID: 38422964
[TBL] [Abstract][Full Text] [Related]
7. Consistency label-activated region generating network for weakly supervised medical image segmentation.
Du W; Huo Y; Zhou R; Sun Y; Tang S; Zhao X; Li Y; Li G
Comput Biol Med; 2024 May; 173():108380. PubMed ID: 38555701
[TBL] [Abstract][Full Text] [Related]
8. Construction of multi-scale feature fusion segmentation model of MRI knee images based on dual attention mechanism weighted aggregation.
Gai X; Cai H; Wang J; Li X; Sui Y; Liu K; Yang D
Technol Health Care; 2024; 32(S1):277-286. PubMed ID: 38759056
[TBL] [Abstract][Full Text] [Related]
9. Anomaly-guided weakly supervised lesion segmentation on retinal OCT images.
Yang J; Mehta N; Demirci G; Hu X; Ramakrishnan MS; Naguib M; Chen C; Tsai CL
Med Image Anal; 2024 May; 94():103139. PubMed ID: 38493532
[TBL] [Abstract][Full Text] [Related]
10. Semi-supervised breast cancer pathology image segmentation based on fine-grained classification guidance.
Sun K; Zheng Y; Yang X; Chen X; Jia W
Med Biol Eng Comput; 2024 Mar; 62(3):901-912. PubMed ID: 38087041
[TBL] [Abstract][Full Text] [Related]
11. Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach.
Aboobacker S; Vijayasenan D; S SD; Suresh PK; Sreeram S
Comput Biol Med; 2022 Nov; 150():106179. PubMed ID: 36252367
[TBL] [Abstract][Full Text] [Related]
12. Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic Segmentation.
Xu L; Bennamoun M; Boussaid F; Ouyang W; Sohel F; Xu D
IEEE Trans Neural Netw Learn Syst; 2024 Mar; PP():. PubMed ID: 38478447
[TBL] [Abstract][Full Text] [Related]
13. Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics.
Wang S; Shao Y; Tian N; Zhao W
Neural Netw; 2024 Jan; 169():75-82. PubMed ID: 37857174
[TBL] [Abstract][Full Text] [Related]
14. Dual-TranSpeckle: Dual-pathway transformer based encoder-decoder network for medical ultrasound image despeckling.
Chen Y; Guo Z; Yuan J; Li X; Yu H
Comput Biol Med; 2024 May; 173():108313. PubMed ID: 38531247
[TBL] [Abstract][Full Text] [Related]
15. Weakly supervised segmentation of uterus by scribble labeling on endometrial cancer MR images.
Ying J; Huang W; Fu L; Yang H; Cheng J
Comput Biol Med; 2023 Dec; 167():107582. PubMed ID: 37922606
[TBL] [Abstract][Full Text] [Related]
16. A review of self-supervised, generative, and few-shot deep learning methods for data-limited magnetic resonance imaging segmentation.
Liu Z; Kainth K; Zhou A; Deyer TW; Fayad ZA; Greenspan H; Mei X
NMR Biomed; 2024 Mar; ():e5143. PubMed ID: 38523402
[TBL] [Abstract][Full Text] [Related]
17. Fully automatic image colorization based on semantic segmentation technology.
Xu M; Ding Y
PLoS One; 2021; 16(11):e0259953. PubMed ID: 34847177
[TBL] [Abstract][Full Text] [Related]
18. [Multimodal high-grade glioma semantic segmentation network with multi-scale and multi-attention fusion mechanism].
Wu Y; Lin L; Wu S
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Jun; 39(3):433-440. PubMed ID: 35788512
[TBL] [Abstract][Full Text] [Related]
19. The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations.
Cui YM; Wang HL; Cao R; Bai H; Sun D; Feng JX; Lu XF
J Imaging Inform Med; 2024 Feb; 37(1):374-385. PubMed ID: 38343259
[TBL] [Abstract][Full Text] [Related]
20. Integrating image and gene-data with a semi-supervised attention model for prediction of KRAS gene mutation status in non-small cell lung cancer.
Xue Y; Zhang D; Jia L; Yang W; Zhao J; Qiang Y; Wang L; Qiao Y; Yue H
PLoS One; 2024; 19(3):e0297331. PubMed ID: 38466735
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
