METHOD AND APPARATUS FOR TRAINING MACHINE LEARNING MODELS, COMPUTER DEVICE, AND STORAGE MEDIUM

The present application relates to a method and an apparatus for training machine learning models, a computer device, and a storage medium. The method comprises: acquiring a first training sample set and a second training sample set; the training samples in the first training sample set and the second training sample set comprise medical images obtained by a medical scanning device scanning a scanned subject; on the basis of the first sample set, performing multi-round model training to obtain a first machine learning model; and on the basis of the second sample set, performing multi-round model training to obtain a second machine learning model; the first machine learning model and the second machine learning model are at least partially identical in structure, and at least some of the model parameters of the second machine learning model are used when the first machine learning model is trained and at least some of the model parameters of the first machine learning model are used when the second machine learning model is trained. By use of the present method, model accuracy can be increased without the need to share medical images.