Accessibility settings

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

Machine Learning (2337) Clinical Information and Decision Making (2177) Decision Support for Health Professionals (1721) Artificial Intelligence (2496) Precision Medicine (199)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72679, first published .
Nurse examines patient's throat during medical check-up in clinic.

Automated Classification of Lymphoma Subtypes From Histopathological Images Using a U-Net Deep Learning Model: Comparative Evaluation Study

Automated Classification of Lymphoma Subtypes From Histopathological Images Using a U-Net Deep Learning Model: Comparative Evaluation Study

Authors of this article:

Jin Zhao1 Author Orcid Image ;   Xiaolian Wen1 Author Orcid Image ;   Li Ma1 Author Orcid Image ;   Liping Su1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Conference Proceedings

  1. N N, Patil C, G N, S G, Kothari R. 2026 IEEE 4th International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). Deep Learning–Based Subtype Classification of Non-Hodgkin’s Lymphoma from Histopathological Images View