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

Formative Evaluation of Digital Health Interventions (2410) Imaging Informatics (193) Clinical Information and Decision Making (1407) Machine Learning (1465) Surgery, Trauma and Surgical Sciences (144) Computer-Aided Diagnosis (128)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58776, first published .
A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Feasibility Development Study

A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Feasibility Development Study

A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Feasibility Development Study

Authors of this article:

Ho Heon Kim1 Author Orcid Image ;   Won Chan Jeong2 Author Orcid Image ;   Kyungran Pi3 Author Orcid Image ;   Angela Soeun Lee4 Author Orcid Image ;   Min Soo Kim4 Author Orcid Image ;   Hye Jin Kim4 Author Orcid Image ;   Jae Hong Kim5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .