Accessibility settings

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

Natural Language Processing (1302) Clinical Informatics (2302) Clinical Information and Decision Making (3749) Imaging Informatics (472) Machine Learning (3218) Cancer Prognosis Models and Machine Learning (138) Medical imaging (195)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92937, first published .
Doctor shows MRI scans to patient with headscarf in hospital room.

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisupervised Deep Learning Study

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisupervised Deep Learning Study

Authors of this article:

Wonkeun Jo1, 2 Author Orcid Image ;   Bumwoo Park3 Author Orcid Image ;   Ji-Hoon Sim4 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.