Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery.
Saved in:
| Title: | Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery. |
|---|---|
| Authors: | Tan E; Western Skin Institute, Melbourne, Australia.; Skintel, Auckland, New Zealand.; Alfred Health, Melbourne, Australia., Lim S; Alfred Health, Melbourne, Australia., Lamont D; Department of Pathology, Waikato Hospital, Hamilton, New Zealand., Epstein R; School of Medicine, University of New South Wales, Sydney, Australia., Lim D; Skintel, Auckland, New Zealand., Lin FPY; School of Medicine, University of New South Wales, Sydney, Australia.; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, Australia.; NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia. |
| Source: | JAAD international [JAAD Int] 2023 Nov 07; Vol. 14, pp. 39-47. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101774762 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3287 (Electronic) Linking ISSN: 26663287 NLM ISO Abbreviation: JAAD Int Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2666-3287 |
|---|---|
| DOI: | 10.1016/j.jdin.2023.10.007 |