BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 36355845)

  • 21. 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]  

  • 22. SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images.
    Kasmi R; Hagerty J; Young R; Lama N; Nepal J; Miinch J; Stoecker W; Stanley RJ
    Skin Res Technol; 2023 Apr; 29(4):e13203. PubMed ID: 37113095
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
    Ahn E; Kim J; Bi L; Kumar A; Li C; Fulham M; Feng DD
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1685-1693. PubMed ID: 28092585
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network.
    Singh SK; Abolghasemi V; Anisi MH
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36016022
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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 Feb; ():. PubMed ID: 38409610
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
    Nida N; Irtaza A; Javed A; Yousaf MH; Mahmood MT
    Int J Med Inform; 2019 Apr; 124():37-48. PubMed ID: 30784425
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
    Premaladha J; Ravichandran KS
    J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A feature-preserving hair removal algorithm for dermoscopy images.
    Abbas Q; Garcia IF; Emre Celebi M; Ahmad W
    Skin Res Technol; 2013 Feb; 19(1):e27-36. PubMed ID: 22211360
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things.
    Akram A; Rashid J; Jaffar MA; Faheem M; Amin RU
    Skin Res Technol; 2023 Nov; 29(11):e13524. PubMed ID: 38009016
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images.
    Jahanifar M; Zamani Tajeddin N; Mohammadzadeh Asl B; Gooya A
    IEEE J Biomed Health Inform; 2019 Mar; 23(2):509-518. PubMed ID: 29994323
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images.
    Oukil S; Kasmi R; Mokrani K; García-Zapirain B
    Skin Res Technol; 2022 Mar; 28(2):203-211. PubMed ID: 34779062
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
    R D S; A S
    Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.
    Abbas Q; Garcia IF; Emre Celebi M; Ahmad W; Mushtaq Q
    Skin Res Technol; 2013 Feb; 19(1):e490-7. PubMed ID: 22882675
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Colour and contrast enhancement for improved skin lesion segmentation.
    Schaefer G; Rajab MI; Celebi ME; Iyatomi H
    Comput Med Imaging Graph; 2011 Mar; 35(2):99-104. PubMed ID: 21035303
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation.
    Wang Z; Lyu J; Tang X
    IEEE Trans Med Imaging; 2023 Dec; 42(12):3501-3511. PubMed ID: 37379178
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.