Accessibility settings

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

Computer-Aided Diagnosis (279) Cancer Prognosis Models and Machine Learning (81) Machine Learning (2236) Tools, Programs and Algorithms (409) Cancer Prognosis Models and Machine Learning (81) Colon and Rectal Cancer (53) Machine Learning (2236) Tools, Programs and Algorithms (409) Cancer Prognosis Models and Machine Learning (81) Colon and Rectal Cancer (53) Imaging Informatics (332) Machine Learning (2236) Tools, Programs and Algorithms (409)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73311, first published .
Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study

Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study

Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study

Authors of this article:

Houwen Long1 Author Orcid Image ;   Feng Ying1 Author Orcid Image ;   Shi Wu1 Author Orcid Image ;   Long Li1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Houwen Long   1 , BSc ;   Feng Ying   1 , BSc ;   Shi Wu   1 , MSc ;   Long Li   1 , MSc

1 Department of Anus and Intestine Surgery, Yongkang First People’s Hospital Affiliated to Hangzhou Medical College, Yongkang, China

Corresponding Author:

  • Long Li, MSc
  • Department of Anus and Intestine Surgery
  • Yongkang First People’s Hospital Affiliated to Hangzhou Medical College
  • 599 Jinshan West Road, Dongcheng Street
  • Yongkang 321300
  • China
  • Phone: 86 0579-89279021
  • Email: zjykll1988@163.com