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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

Journals

  1. Hong R, Wang G, Pan W, Qin H. DEGL: dual-entropy guided loss with dynamic temperature regularization for long-tailed and imbalance-prone medical image classification. Signal, Image and Video Processing 2026;20(10) View

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