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Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration
The rising global prevalence of skin conditions, some of which can escalate to life-threatening stages if not timely diagnosed and treated, presents a significant healthcare challenge.
Multi-task Explainable Skin Lesion Classification
The proposed approach comprises a fusion of a segmentation network that acts as an attention module and classification network.
MTCD: Cataract Detection via Near Infrared Eye Images
We present deep learning-based eye segmentation and multitask network classification networks for cataract detection using NIR images as input.
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