BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 32378058)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm.
    Ünver HM; Ayan E
    Diagnostics (Basel); 2019 Jul; 9(3):. PubMed ID: 31295856
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Hyper-fusion network for semi-automatic segmentation of skin lesions.
    Bi L; Fulham M; Kim J
    Med Image Anal; 2022 Feb; 76():102334. PubMed ID: 34923251
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance.
    Yuan Y; Chao M; Lo YC
    IEEE Trans Med Imaging; 2017 Sep; 36(9):1876-1886. PubMed ID: 28436853
    [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. 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]  

  • 13. 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]  

  • 14. Modified U-NET Architecture for Segmentation of Skin Lesion.
    Anand V; Gupta S; Koundal D; Nayak SR; Barsocchi P; Bhoi AK
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161613
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.