AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.

Clicks: 350
ID: 76608
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.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #1 of 3 articles by views in Radiological physics and technology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create 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
Sign in to mint
Abstract
The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of its evolution is quickly increasing. In games like chess, shogi, and go, AI has already defeated human champions, and the fact that it is able to achieve autonomous driving is also being realized. Under these circumstances, AI has evolved and diversified at a remarkable pace in medical diagnosis, especially in diagnostic imaging. Therefore, this commentary focuses on AI in medical diagnostic imaging and explains the recent development trends and practical applications of computer-aided detection/diagnosis using artificial intelligence, especially deep learning technology, as well as some topics surrounding it.
Reference Key
fujita2020aibasedradiological Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fujita, Hiroshi;
Journal Radiological physics and technology
Year 2020
DOI
10.1007/s12194-019-00552-4
URL
Keywords
Deep learning Machine learning Convolutional neural network artificial intelligence (ai) computer-aided detection/diagnosis (cad) medical image recognition

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.