BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

700 related articles for article (PubMed ID: 31837637)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. Skin Lesion Segmentation with Improved Convolutional Neural Network.
    Öztürk Ş; Özkaya U
    J Digit Imaging; 2020 Aug; 33(4):958-970. PubMed ID: 32378058
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic skin lesion segmentation based on FC-DPN.
    Shan P; Wang Y; Fu C; Song W; Chen J
    Comput Biol Med; 2020 Aug; 123():103762. PubMed ID: 32768035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
    Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
    IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
    Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
    Comput Methods Programs Biomed; 2019 Aug; 177():17-30. PubMed ID: 31319945
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Attention Residual Learning for Skin Lesion Classification.
    Zhang J; Xie Y; Xia Y; Shen C
    IEEE Trans Med Imaging; 2019 Sep; 38(9):2092-2103. PubMed ID: 30668469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Automatic skin lesion classification using a new densely connected convolutional network with an SF module.
    Shan P; Fu C; Dai L; Jia T; Tie M; Liu J
    Med Biol Eng Comput; 2022 Aug; 60(8):2173-2188. PubMed ID: 35639329
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Machine learning based skin lesion segmentation method with novel borders and hair removal techniques.
    Rehman M; Ali M; Obayya M; Asghar J; Hussain L; K Nour M; Negm N; Mustafa Hilal A
    PLoS One; 2022; 17(11):e0275781. PubMed ID: 36355845
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 35.