Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops; ISIC 2023, Care-AI 2 M. Emre Celebi,Md Sirajus Salekin,

moratorium

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillationnt federated skin lesion classification. Our framework includes the generalization dataset distillation (GDD) method, which explicitly models image features of the dataset into an uncertain Gaussian distribution and learns to produce synthetic images with features close to this distribution. The unc

milligram

AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasetslate the feature representation of a ViT without updating its pre-trained weights. In addition, we employ a shallow CNN as a prompt generator to create a prompt embedding from the input image, which grasps fine-grained information and CNN’s inductive biases to guide the segmentation task on small da

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DNR215

Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Gendering linguistic disparities, we enhance the SOTA method with prompt training, graph-based augmentation, and sentence shuffling. Our CN-X2RG model shows significant improvements over baselines. The dataset and code are publicly available, fostering clinical-responsible research and development.