Keypoint tracking and classification
This project is devoted to tracking and classification of the anchor points during the performance of Transcatheter Aortic Valve Replacement.
Created on April 10|Last edited on March 30
Comment
Section 1: Project description
Section 2: Neural networks description
Section 3.1: MobileNet V2 (training)
Section 3.2: MobileNet V2 (convergence)
Section 3.3: MobileNet V2 (prediction)
Section 4.1: ResNet V2 (training)
Section 4.2: ResNet V2 (convergence)
Section 4.3: ResNet V2 (prediction)
Section 5.1: Inception V3 (training)
Section 5.2: Inception V3 (convergence)
Section 5.3: Inception V3 (prediction)
Section 6.1: Inception ResNet V2 (training)
Section 6.2: Inception ResNet V2 (convergence)
Section 6.3: Inception ResNet V2 (prediction)
Section 7.1: EfficientNet B5 (training)
Section 7.2: EfficientNet B5 (convergence)
Section 7.3: EfficientNet B5 (prediction)
Section 8.1: Model comparison (accuracy)
Section 8.2: Model comparison (performance)
Section 9: Comparison of best 3 models
Add a comment