3D CSFA-UNet: a unified attention-driven deep learning framework for accurate knee MRI segmentation and osteoarthritis severity classification

Abstract Although several recent multi-task deep learning methods already perform segmentation and classification jointly, many still face limitations in clinical applicability such as restricted multi-scale context modeling, insufficient attention to clinically relevant spatial–channel cues, or hea...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	C. Moorthy, A. Shafeek, V. Gurunathan, R. Sudhakar
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2026-02-01
سلاسل:	Scientific Reports
الموضوعات:	3D knee Total knee replacement Channel feature attention Spatial feature attention Desert scorpion feature selector Falcon hunting optimization
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-026-37847-7
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!