It combines a lightweight residual encoder with a U-Net-style decoder, enhanced by advanced feature extraction and attention mechanisms specifically adapted to the characteristics of ACL tears (Figure ...

Accurate cerebrovascular segmentation is crucial for the early diagnosis and treatment of stroke and aneurysm, both of which pose significant health risks. Time-of-Flight Magnetic Resonance ...

Medical image analysis for diagnosing lung diseases heavily relies on automated lung segmentation as an essential procedure. The well-known UNet algorithms along with their variations have achieved ...

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