212 related articles for article (PubMed ID: 36027859)
1. 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]
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. 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. 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]
5. ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
Ji Z; Mu J; Liu J; Zhang H; Dai C; Zhang X; Ganchev I
Med Biol Eng Comput; 2024 Jun; 62(6):1673-1687. PubMed ID: 38326677
[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. 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]
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. Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network.
Zafar K; Gilani SO; Waris A; Ahmed A; Jamil M; Khan MN; Sohail Kashif A
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32183041
[TBL] [Abstract][Full Text] [Related]
10. Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.
Tschandl P; Sinz C; Kittler H
Comput Biol Med; 2019 Jan; 104():111-116. PubMed ID: 30471461
[TBL] [Abstract][Full Text] [Related]
11. Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification.
Dong C; Dai D; Zhang Y; Zhang C; Li Z; Xu S
Comput Biol Med; 2023 Jan; 152():106321. PubMed ID: 36463792
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules.
Xiong L; Yi C; Xiong Q; Jiang S
BMC Med Imaging; 2024 Jan; 24(1):17. PubMed ID: 38212684
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. [Image segmentation of skin lesions based on dense atrous spatial pyramid pooling and attention mechanism].
Yin W; Zhou D; Fan T; Yu Z; Li Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1108-1116. PubMed ID: 36575079
[TBL] [Abstract][Full Text] [Related]
17. Skin Lesion Segmentation in Dermoscopic Images with Noisy Data.
Lama N; Hagerty J; Nambisan A; Stanley RJ; Van Stoecker W
J Digit Imaging; 2023 Aug; 36(4):1712-1722. PubMed ID: 37020149
[TBL] [Abstract][Full Text] [Related]
18. Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation.
He X; Yu Z; Wang T; Lei B; Shi Y
Technol Health Care; 2018; 26(S1):307-316. PubMed ID: 29758959
[TBL] [Abstract][Full Text] [Related]
19. SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation.
Zhang Z; Jiang Y; Qiao H; Wang M; Yan W; Chen J
Comput Biol Med; 2022 Nov; 150():106146. PubMed ID: 36228460
[TBL] [Abstract][Full Text] [Related]
20. Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM.
He Y; Sun H; Yi Y; Chen W; Kong J; Zheng C
Med Phys; 2022 May; 49(5):3144-3158. PubMed ID: 35172016
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
