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

Formative Evaluation of Digital Health Interventions (2562) Imaging Informatics (205) Clinical Information and Decision Making (1466) Machine Learning (1537) Surgery, Trauma and Surgical Sciences (151) Computer-Aided Diagnosis (144)

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
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