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LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion
Accurate segmentation of skin lesions in dermatoscopic images is crucial for the early diagnosis of skin cancer and improving the survival rate of patients.
Computational imaging with the human brain
Brain-computer interfaces (BCIs) are enabling a range of new possibilities and routes for augmenting human capability.
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning
Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models.
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