Performance of a deep learning-based application for the diagnosis of basal cell carcinoma in Indian patients as compared to dermatologists and nondermatologists.
Clicks: 253
ID: 128161
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
253 views
29 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #9 of 9 articles by views in international journal of dermatology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract is not available for this article.
Login to Search Abstract
| Reference Key |
pangti2020performanceinternational
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Pangti, Rashi;Chouhan, Vikas;Mathur, Jyoti;Kumar, Sharad;Dixit, Ambika;Gupta, Sanjeev;Mahajan, Soniya;Gupta, Atula;Gupta, Somesh; |
| Journal | international journal of dermatology |
| Year | 2020 |
| DOI |
10.1111/ijd.15242
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.