Alexei Botnari
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View article: Automated Segmentation of Knee Menisci Using U-Net Deep Learning Model: Preliminary Results
Automated Segmentation of Knee Menisci Using U-Net Deep Learning Model: Preliminary Results Open
The present study introduces a practical deep learning-based approach for segmenting the knee meniscus, which is validated against ground truth annotations from orthopedic surgeons. Despite challenges such as data scarcity and the need for…
View article: Considerations on Image Preprocessing Techniques Required by Deep Learning Models. The Case of the Knee MRIs
Considerations on Image Preprocessing Techniques Required by Deep Learning Models. The Case of the Knee MRIs Open
Our study introduces innovative preprocessing methods that have the potential to advance the field. By enhancing researchers' understanding of the importance of preprocessing steps, we anticipate that our techniques will streamline the pre…
View article: A Comprehensive Evaluation of Deep Learning Models on Knee MRIs for the Diagnosis and Classification of Meniscal Tears: A Systematic Review and Meta-Analysis
A Comprehensive Evaluation of Deep Learning Models on Knee MRIs for the Diagnosis and Classification of Meniscal Tears: A Systematic Review and Meta-Analysis Open
Objectives: This study delves into the cutting-edge field of deep learning techniques, particularly deep convolutional neural networks (DCNNs), which have demonstrated unprecedented potential in assisting radiologists and orthopedic surgeo…