212 related articles for article (PubMed ID: 36027859)
21. 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]
22. 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]
23. Rema-Net: An efficient multi-attention convolutional neural network for rapid skin lesion segmentation.
Yang L; Fan C; Lin H; Qiu Y
Comput Biol Med; 2023 Jun; 159():106952. PubMed ID: 37084639
[TBL] [Abstract][Full Text] [Related]
24. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
25. RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.
Li YZ; Wang Y; Huang YH; Xiang P; Liu WX; Lai QQ; Gao YY; Xu MS; Guo YF
Comput Methods Programs Biomed; 2023 Apr; 231():107437. PubMed ID: 36863157
[TBL] [Abstract][Full Text] [Related]
26. A Multi-Scale Context Aware Attention Model for Medical Image Segmentation.
Alam MS; Wang D; Liao Q; Sowmya A
IEEE J Biomed Health Inform; 2023 Aug; 27(8):3731-3739. PubMed ID: 37015493
[TBL] [Abstract][Full Text] [Related]
27. IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.
Chen S; Zou Y; Liu PX
Comput Biol Med; 2021 Aug; 135():104551. PubMed ID: 34157471
[TBL] [Abstract][Full Text] [Related]
28. Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network.
Ramadan R; Aly S; Abdel-Atty M
Health Inf Sci Syst; 2022 Dec; 10(1):17. PubMed ID: 35978865
[TBL] [Abstract][Full Text] [Related]
29. HWA-SegNet: Multi-channel skin lesion image segmentation network with hierarchical analysis and weight adjustment.
Han Q; Wang H; Hou M; Weng T; Pei Y; Li Z; Chen G; Tian Y; Qiu Z
Comput Biol Med; 2023 Jan; 152():106343. PubMed ID: 36481758
[TBL] [Abstract][Full Text] [Related]
30. BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation.
Li D; Rahardja S
Comput Methods Programs Biomed; 2021 Jun; 205():106070. PubMed ID: 33857703
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
Wang J; Lv P; Wang H; Shi C
Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
[TBL] [Abstract][Full Text] [Related]
33. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[TBL] [Abstract][Full Text] [Related]
34. S
Alam MJ; Mohammad MS; Hossain MAF; Showmik IA; Raihan MS; Ahmed S; Mahmud T
Comput Biol Med; 2022 Nov; 150():106148. PubMed ID: 36252363
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. 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]
37. PMJAF-Net: Pyramidal multi-scale joint attention and adaptive fusion network for explainable skin lesion segmentation.
Li H; Zeng P; Bai C; Wang W; Yu Y; Yu P
Comput Biol Med; 2023 Oct; 165():107454. PubMed ID: 37716246
[TBL] [Abstract][Full Text] [Related]
38. DSNet: Automatic dermoscopic skin lesion segmentation.
Hasan MK; Dahal L; Samarakoon PN; Tushar FI; Martà R
Comput Biol Med; 2020 May; 120():103738. PubMed ID: 32421644
[TBL] [Abstract][Full Text] [Related]
39. EA-Net: Research on skin lesion segmentation method based on U-Net.
Cheng D; Gai J; Mao Y; Gao X; Zhang B; Jing W; Deng J; Zhao F; Mao N
Heliyon; 2023 Dec; 9(12):e22663. PubMed ID: 38076196
[TBL] [Abstract][Full Text] [Related]
40. Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.
Ashraf H; Waris A; Ghafoor MF; Gilani SO; Niazi IK
Sci Rep; 2022 Mar; 12(1):3948. PubMed ID: 35273282
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]