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https://pubmed.ncbi.nlm.nih.gov/38091612
The study developed an end-to-end deep learning model, MM-SFENet, that accurately localizes and classifies bladder cancer as muscle-invasive or non-muscle-invasive based on MRI, potentially aiding in bladder cancer staging.
