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

Machine Learning (1122) New Methods (756) Decision Support for Health Professionals (856) Imaging Informatics (154) Registered Report (417)

Published on in Vol 10 , No 11 (2022) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40878, first published .
Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach

Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach

Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach

Authors of this article:

Ming-Chin Tsai 1 Author Orcid Image ;   Henry Horng-Shing Lu 2 Author Orcid Image ;   Yueh-Chuan Chang 3 Author Orcid Image ;   Yung-Chieh Huang 1, 4 Author Orcid Image ;   Lin-Shien Fu 1, 4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Bhandari M, Yogarajah P, Kavitha M, Condell J. Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP. Applied Sciences 2023;13(5):3125 View