IMAGE CLASSIFICATION TRAINING METHOD

A computer-implemented method (100) for training an image classification machine-learning model (108) is provided for identifying abnormal tissue portions in intra-op surgical images. The method may comprise the step of providing a training dataset. The training dataset may comprise a plurality of labelled training images, in particular image pairs, further comprising:an intra-op white light surgery image (102a);an intra-op blue light surgery image (104), the white light surgery image (102a) and the blue light surgery image (104) having matching fields of view; andat least an intra-op white light surgery image (102a);at least one other image of different-modality; anda label (106) for classifying at least one of an abnormal tissue portion and/or another tissue portion in at least one of the white light surgery image (102a) and/or the at least one other image of different-modality. Training the machine-learning model (108) may be based at least in part on the training dataset, thereby obtaining a trained machine-learning model (110) which is configured to identify one or more abnormal tissue portions in an intra-op white light surgery image (102b) captured during a surgery.