154 related articles for article (PubMed ID: 35978865)
1. 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]
2. 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]
3. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
Kaur R; GholamHosseini H; Sinha R; Lindén M
BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
[TBL] [Abstract][Full Text] [Related]
4. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Skin lesion segmentation using high-resolution convolutional neural network.
Xie F; Yang J; Liu J; Jiang Z; Zheng Y; Wang Y
Comput Methods Programs Biomed; 2020 Apr; 186():105241. PubMed ID: 31837637
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. DSNet: Automatic dermoscopic skin lesion segmentation.
Hasan MK; Dahal L; Samarakoon PN; Tushar FI; Martí R
Comput Biol Med; 2020 May; 120():103738. PubMed ID: 32421644
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. SEACU-Net: Attentive ConvLSTM U-Net with squeeze-and-excitation layer for skin lesion segmentation.
Jiang X; Jiang J; Wang B; Yu J; Wang J
Comput Methods Programs Biomed; 2022 Oct; 225():107076. PubMed ID: 36027859
[TBL] [Abstract][Full Text] [Related]
11. ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images.
Lama N; Kasmi R; Hagerty JR; Stanley RJ; Young R; Miinch J; Nepal J; Nambisan A; Stoecker WV
J Digit Imaging; 2023 Apr; 36(2):526-535. PubMed ID: 36385676
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks.
Kim CI; Hwang SM; Park EB; Won CH; Lee JH
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450993
[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. 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]
16. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Feature-guided attention network for medical image segmentation.
Zhou H; Sun C; Huang H; Fan M; Yang X; Zhou L
Med Phys; 2023 Aug; 50(8):4871-4886. PubMed ID: 36746870
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]