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Considerations on Image Preprocessing Techniques Required by Deep Learning Models. The Case of the Knee MRIs.
A Botnari1, M Kadar2, J M Patrascu1
1"Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Maedica
|November 18, 2024
Summary
This study details knee MRI preprocessing for deep learning models to detect meniscal lesions. These methods enhance diagnostic accuracy for knee conditions, improving patient outcomes.
Area of Science:
- Medical Imaging
- Artificial Intelligence in Medicine
- Orthopedics
Background:
- Knee MRI is crucial for diagnosing meniscal lesions, often caused by degeneration or trauma.
- Deep learning models show promise for improving the accuracy and efficiency of knee condition diagnosis.
- Standardized preprocessing is essential for effective deep learning model training in medical imaging.
