Skin lesion segmentation using two-phase cross-domain transfer learning framework
Article
Article Title | Skin lesion segmentation using two-phase cross-domain transfer learning framework |
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ERA Journal ID | 5039 |
Article Category | Article |
Authors | Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 231 |
Article Number | 107408 |
Number of Pages | 15 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2023.107408 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0169260723000755 |
Abstract | Background and Objective Methods Results Conclusion |
Keywords | Deep learning; Skin lesion segmentation; Transfer learning; Receptive fields; Dermoscopic images; Spatial edge attention fusion |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Indian Institute of Technology, India |
Ngee Ann Polytechnic, Singapore | |
Singapore University of Social Sciences (SUSS), Singapore | |
Asia University, Taiwan |
https://research.usq.edu.au/item/z1vv4/skin-lesion-segmentation-using-two-phase-cross-domain-transfer-learning-framework
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