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a year ago

New AI Model Boosts Leukemia Detection Accuracy, Saving Lives

IEEE Access
DL4ALL: Multi-Task Cross-Dataset Transfer Learning for Acute Lymphoblastic Leukemia Detection
Angelo Genovese, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti

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A new method called DL4ALL was developed to detect Acute Lymphoblastic Leukemia more accurately using deep learning. Unlike traditional methods, DL4ALL trains the model on multiple datasets simultaneously, improving accuracy without overfitting. Testing on a public database showed that DL4ALL outperformed existing methods in detecting ALL, even without manual labels for one of the datasets.