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New Mucosa-Associated Lymphoid Tissue Lymphoma Data Have Been Reported by Researchers at Fuzhou University (A Deep Learning Model Fusion Algorithm for the Diagnosis of Gastric Mucosa-associated Lymphoid Tissue Lymphoma).

Source :
Hematology Week; 6/4/2024, p474-474, 1p
Publication Year :
2024

Abstract

Researchers at Fuzhou University in Fujian, China have developed a deep learning model fusion algorithm for the diagnosis of gastric mucosa-associated lymphoid tissue (MALT) lymphoma. The algorithm uses hematoxylin-eosin (H&E) whole slide images (WSIs) to accurately diagnose MALT lymphoma, which is a type of malignant tumor originating from the lymphohematopoietic system. The proposed framework achieved an accuracy of 98.53% using image patches and 94.96% on 258 WSIs, demonstrating its potential use in clinical practice. The research was funded by the National Natural Science Foundation of China and the Fujian Health Commission. [Extracted from the article]

Details

Language :
English
ISSN :
1543673X
Database :
Complementary Index
Journal :
Hematology Week
Publication Type :
Periodical
Accession number :
177569924