These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

277 related articles for article (PubMed ID: 37210926)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 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. 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]  

  • 9. 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]  

  • 10. Intelligent skin lesion segmentation using deformable attention Transformer U-Net with bidirectional attention mechanism in skin cancer images.
    Cai L; Hou K; Zhou S
    Skin Res Technol; 2024 Aug; 30(8):e13783. PubMed ID: 39113617
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MASDF-Net: A Multi-Attention Codec Network with Selective and Dynamic Fusion for Skin Lesion Segmentation.
    Fu J; Deng H
    Sensors (Basel); 2024 Aug; 24(16):. PubMed ID: 39205066
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation.
    Lama N; Stanley RJ; Lama B; Maurya A; Nambisan A; Hagerty J; Phan T; Van Stoecker W
    J Imaging Inform Med; 2024 Aug; 37(4):1812-1823. PubMed ID: 38409610
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.