This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Imaging Informatics (193) Machine Learning (1465)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18563, first published .
Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

Authors of this article:

Muhammad Owais1 Author Orcid Image ;   Muhammad Arsalan1 Author Orcid Image ;   Tahir Mahmood1 Author Orcid Image ;   Jin Kyu Kang1 Author Orcid Image ;   Kang Ryoung Park1 Author Orcid Image
Article Authors Cited by (17) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.