562 related articles for article (PubMed ID: 34923250)
1. 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]
2. Transformer guided self-adaptive network for multi-scale skin lesion image segmentation.
Xin C; Liu Z; Ma Y; Wang D; Zhang J; Li L; Zhou Q; Xu S; Zhang Y
Comput Biol Med; 2024 Feb; 169():107846. PubMed ID: 38184865
[TBL] [Abstract][Full Text] [Related]
3. Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization.
Qin C; Zheng B; Zeng J; Chen Z; Zhai Y; Genovese A; Piuri V; Scotti F
Comput Methods Programs Biomed; 2023 Aug; 238():107601. PubMed ID: 37210926
[TBL] [Abstract][Full Text] [Related]
4. Enhancing skin lesion segmentation with a fusion of convolutional neural networks and transformer models.
Xu Z; Guo X; Wang J
Heliyon; 2024 May; 10(10):e31395. PubMed ID: 38807881
[TBL] [Abstract][Full Text] [Related]
5. TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation.
Song P; Li J; Fan H; Fan L
Comput Biol Med; 2023 Dec; 167():107583. PubMed ID: 37890420
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Pact-Net: Parallel CNNs and Transformers for medical image segmentation.
Chen W; Zhang R; Zhang Y; Bao F; Lv H; Li L; Zhang C
Comput Methods Programs Biomed; 2023 Dec; 242():107782. PubMed ID: 37690317
[TBL] [Abstract][Full Text] [Related]
9. Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior.
Zhang H; Yang X; Li D; Cui Y; Zhao J; Qiu S
J Biomed Inform; 2023 Mar; 139():104304. PubMed ID: 36736447
[TBL] [Abstract][Full Text] [Related]
10. EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation.
Yu Z; Yu L; Zheng W; Wang S
Comput Biol Med; 2023 Aug; 162():107081. PubMed ID: 37301097
[TBL] [Abstract][Full Text] [Related]
11. SUTrans-NET: a hybrid transformer approach to skin lesion segmentation.
Li Y; Tian T; Hu J; Yuan C
PeerJ Comput Sci; 2024; 10():e1935. PubMed ID: 38660200
[TBL] [Abstract][Full Text] [Related]
12. BiU-net: A dual-branch structure based on two-stage fusion strategy for biomedical image segmentation.
Huang Z; Zhao Y; Yu Z; Qin P; Han X; Wang M; Liu M; Gregersen H
Comput Methods Programs Biomed; 2024 May; 252():108235. PubMed ID: 38776830
[TBL] [Abstract][Full Text] [Related]
13. HMA-Net: A deep U-shaped network combined with HarDNet and multi-attention mechanism for medical image segmentation.
Liu Q; Han Z; Liu Z; Zhang J
Med Phys; 2023 Mar; 50(3):1635-1646. PubMed ID: 36303466
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. D-SAT: dual semantic aggregation transformer with dual attention for medical image segmentation.
Li H; Ding J; Shi X; Zhang Q; Yu P; Li H
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 37607559
[No Abstract] [Full Text] [Related]
19. MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation.
Ao Y; Shi W; Ji B; Miao Y; He W; Jiang Z
Comput Biol Med; 2024 Mar; 170():108057. PubMed ID: 38301516
[TBL] [Abstract][Full Text] [Related]
20. ACCPG-Net: A skin lesion segmentation network with Adaptive Channel-Context-Aware Pyramid Attention and Global Feature Fusion.
Zhang W; Lu F; Zhao W; Hu Y; Su H; Yuan M
Comput Biol Med; 2023 Mar; 154():106580. PubMed ID: 36716686
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]