Domain affiliated distilled knowledge transfer for improved convergence of Ph-negative MPN identifier.

ABSTRACT: Ph-negative Myeloproliferative Neoplasm is a rare yet dangerous disease that can turn into more severe forms of disorders later on. Clinical diagnosis of the disease exists but often requires collecting multiple types of pathologies which can be tedious and time-consuming. Meanwhile, studies on deep learning-based research are rare and often need to rely on a small amount of pathological data due to the rarity of the disease. In addition, the existing research works do not address the data scarcity issue apart from using common techniques like data augmentation, which leaves room for performance improvement. To tackle the issue, the proposed research aims to utilize distilled knowledge learned from a larger dataset to boost the performance of a lightweight model trained on a small MPN data

SUBMITTER: Reza MT 

PROVIDER: S-EPMC11433141 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature