Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images

被引：0
|
作者：
Ali, Abder-Rahman [1 ]
Li, Jingpeng [1 ]
Trappenberg, Thomas [2 ]
机构：
[1] Division of Computer Science and Mathematics, University of Stirling, Stirling, United Kingdom
[2] Faculty of Computer Science, Dalhousie University, Halifax, Canada
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2019年 / 11489 LNAI卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Image recognition
引用
收藏
页码：373 / 379
相关论文
共 50 条
  • [41] A Deep Learning Approach to Vascular Structure Segmentation in Dermoscopy Colour Images
    Jaworek-Korjakowska, Joanna
    BIOMED RESEARCH INTERNATIONAL, 2018, 2018
  • [42] Relative likelihood based aggregated dual deep neural network for skin lesion recognition in dermoscopy images
    Anand S.
    Sheeba A.
    Maha Tharshini M.K.
    Multimedia Tools and Applications, 2024, 83 (21) : 60603 - 60626
  • [43] SkinNet: A Deep Learning Framework for Skin Lesion Segmentation
    Vesal, Sulaiman
    Ravikumar, Nishant
    Maier, Andreas
    2018 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE PROCEEDINGS (NSS/MIC), 2018,
  • [44] SkinNet: A deep learning framework for skin lesion segmentation
    Vesal, Sulaiman
    Ravikumar, Nishant
    Maier, Andreas
    arXiv, 2018,
  • [45] Deep Learning-based Methods for MS Lesion Segmentation : A Review
    Ben Abdelali, Hanene
    Sahnoun, Mouna
    Sakka, Salma
    Damak, Mariem
    Siarry, Patrick
    Kallel, Fathi
    2024 IEEE 7TH INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES, SIGNAL AND IMAGE PROCESSING, ATSIP 2024, 2024, : 676 - 682
  • [46] Skin Lesion Segmentation by using Deep Learning Techniques
    Hasan, Sohaib Najat
    Gezer, Murat
    Azeez, Raghad Abdulaali
    Gulsecen, Sevinc
    2019 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2019, : 192 - 195
  • [47] A General Algorithm for Automatic Lesion Segmentation in Dermoscopy Images
    Tajeddin, Neda Zamani
    Asl, Babak Mohammadzadeh
    2016 23RD IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING AND 2016 1ST INTERNATIONAL IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING (ICBME), 2016, : 129 - 134
  • [48] Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review
    Baig, Ramsha
    Bibi, Maryam
    Hamid, Anmol
    Kausar, Sumaira
    Khalid, Shahzad
    CURRENT MEDICAL IMAGING, 2020, 16 (05) : 513 - 533
  • [49] Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework
    Bibi, Amina
    Khan, Muhamamd Attique
    Javed, Muhammad Younus
    Tariq, Usman
    Kang, Byeong-Gwon
    Nam, Yunyoung
    Mostafa, Reham R.
    Sakr, Rasha H.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 71 (02): : 2477 - 2495
  • [50] An Enhanced Neural Network Based on Deep Metric Learning for Skin Lesion Segmentation
    Liu, Xinhua
    Hu, Gaoqiang
    Ma, Xiaolin
    Kuang, Hailan
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 1633 - 1638
12345