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Research Results from Vellore Institute of Technology Update Knowledge of Lymphoma (PrecisionLymphoNet: Advancing Malignant Lymphoma Diagnosis via Ensemble Transfer Learning with CNNs).

Source :
Hematology Week; 2024, p635-635, 1p
Publication Year :
2024

Abstract

A research report from the Vellore Institute of Technology in India discusses the challenges of accurately diagnosing malignant lymphoma, a form of cancer that affects the lymphatic system. The researchers propose using ensemble and non-ensemble transfer learning models with pre-trained weights from various neural networks to improve diagnostic accuracy. Testing on a dataset of different lymphoma subtypes showed exceptional accuracy, with certain models achieving over 90% accuracy and the proposed ensemble model achieving 99% accuracy. The study demonstrates the potential of this approach for precise lymphoma diagnosis in real-world medical applications. [Extracted from the article]

Details

Language :
English
ISSN :
1543673X
Database :
Complementary Index
Journal :
Hematology Week
Publication Type :
Periodical
Accession number :
176187767