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    A Comparative Study of Performance Between Federated Learning and Centralized Learning Using Pathological Image of Endometrial Cancer

    Federated learning, an innovative artificial intelligence training method, offers a secure solution for institutions to collaboratively develop models without sharing raw data. This approach offers immense pro...

    Jong Chan Yeom, Jae Hoon Kim, Young Jae Kim in Journal of Imaging Informatics in Medicine (2024)

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    Predicting Mismatch Repair Deficiency Status in Endometrial Cancer through Multi-Resolution Ensemble Learning in Digital Pathology

    For molecular classification of endometrial carcinoma, testing for mismatch repair (MMR) status is becoming a routine process. Mismatch repair deficiency (MMR-D) is caused by loss of expression in one or more ...

    Jongwook Whangbo, Young Seop Lee in Journal of Imaging Informatics in Medicine (2024)