169 related articles for article (PubMed ID: 36057184)
1. Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling.
Yang H; Chen Q; Fu K; Zhu L; Jin L; Qiu B; Ren Q; Du H; Lu Y
Comput Med Imaging Graph; 2022 Oct; 101():102110. PubMed ID: 36057184
[TBL] [Abstract][Full Text] [Related]
2. ETU-Net: edge enhancement-guided U-Net with transformer for skin lesion segmentation.
Chen L; Li J; Zou Y; Wang T
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38131313
[No Abstract] [Full Text] [Related]
3. TC-Net: Dual coding network of Transformer and CNN for skin lesion segmentation.
Dong Y; Wang L; Li Y
PLoS One; 2022; 17(11):e0277578. PubMed ID: 36409714
[TBL] [Abstract][Full Text] [Related]
4. TC-Net: A joint learning framework based on CNN and vision transformer for multi-lesion medical images segmentation.
Zhang Z; Sun G; Zheng K; Yang JK; Zhu XR; Li Y
Comput Biol Med; 2023 Jul; 161():106967. PubMed ID: 37220707
[TBL] [Abstract][Full Text] [Related]
5. FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation.
Xu S; Xiao D; Yuan B; Liu Y; Wang X; Li N; Shi L; Chen J; Zhang JX; Wang Y; Cao J; Shao Y; Jiang M
Comput Biol Med; 2023 Nov; 166():107567. PubMed ID: 37852109
[TBL] [Abstract][Full Text] [Related]
6. HMT-Net: Transformer and MLP Hybrid Encoder for Skin Disease Segmentation.
Yang S; Wang L
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991777
[TBL] [Abstract][Full Text] [Related]
7. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution.
Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L
BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560
[TBL] [Abstract][Full Text] [Related]
8. Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt +.
Zhao C; Shuai R; Ma L; Liu W; Wu M
Med Biol Eng Comput; 2021 Sep; 59(9):1815-1832. PubMed ID: 34304370
[TBL] [Abstract][Full Text] [Related]
9. CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation.
Chen Y; Wang T; Tang H; Zhao L; Zhang X; Tan T; Gao Q; Du M; Tong T
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37605997
[TBL] [Abstract][Full Text] [Related]
10. ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation.
Li Z; Zheng Y; Shan D; Yang S; Li Q; Wang B; Zhang Y; Hong Q; Shen D
IEEE Trans Med Imaging; 2024 Jun; 43(6):2254-2265. PubMed ID: 38324425
[TBL] [Abstract][Full Text] [Related]
11. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
12. Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation.
Hu S; Liao Z; Zhang J; Xia Y
IEEE Trans Med Imaging; 2023 Jan; 42(1):233-244. PubMed ID: 36155434
[TBL] [Abstract][Full Text] [Related]
13. SLT-Net: A codec network for skin lesion segmentation.
Feng K; Ren L; Wang G; Wang H; Li Y
Comput Biol Med; 2022 Sep; 148():105942. PubMed ID: 35964466
[TBL] [Abstract][Full Text] [Related]
14. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
Heinrich MP; Oktay O; Bouteldja N
Med Image Anal; 2019 May; 54():1-9. PubMed ID: 30807894
[TBL] [Abstract][Full Text] [Related]
15. GA-Net: Ghost convolution adaptive fusion skin lesion segmentation network.
Zhou L; Liang L; Sheng X
Comput Biol Med; 2023 Sep; 164():107273. PubMed ID: 37562327
[TBL] [Abstract][Full Text] [Related]
16. iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation.
Jiang Y; Dong J; Cheng T; Zhang Y; Lin X; Liang J
BioData Min; 2023 Feb; 16(1):5. PubMed ID: 36805687
[TBL] [Abstract][Full Text] [Related]
17. ConvWin-UNet: UNet-like hierarchical vision Transformer combined with convolution for medical image segmentation.
Feng X; Wang T; Yang X; Zhang M; Guo W; Wang W
Math Biosci Eng; 2023 Jan; 20(1):128-144. PubMed ID: 36650760
[TBL] [Abstract][Full Text] [Related]
18. FAT-Net: Feature adaptive transformers for automated skin lesion segmentation.
Wu H; Chen S; Chen G; Wang W; Lei B; Wen Z
Med Image Anal; 2022 Feb; 76():102327. PubMed ID: 34923250
[TBL] [Abstract][Full Text] [Related]
19. BLA-Net:Boundary learning assisted network for skin lesion segmentation.
Feng R; Zhuo L; Li X; Yin H; Wang Z
Comput Methods Programs Biomed; 2022 Nov; 226():107190. PubMed ID: 36288686
[TBL] [Abstract][Full Text] [Related]
20. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]