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Assignment for the AI for Medicine Specialization course. (1:Chest X-Ray Medical Diagnosis with DL/ 2:Evaluation of Diagnostic Models/ 3:Brain Tumor Auto-Segmentation for MRI)
ai-for-medical-diagnosis's Introduction
【AI-for-Medical-Diagnosis 】 ★Project1:Chest X-Ray Medical Diagnosis with Deep Learning
Pre-process and prepare a real-world X-ray dataset
Use transfer learning to retrain a DenseNet model for X-ray image classification
Use a technique to handle class imbalance
Measure diagnostic performance by computing the AUC (Area Under the Curve) for the ROC (Receiver Operating Characteristic) curve
Visualize model activity using GradCAMs
★Project2:Evaluation of Diagnostic Models
Metrics
Confidence Intervals
Precision-Recall Curve
F1 Score
Calibration
★Project3:Brain Tumor Auto-Segmentation for Magnetic Resonance Imaging (MRI)
What is in an MR image
Standard data preparation techniques for MRI datasets
Metrics and loss functions for segmentation
Visualizing and evaluating segmentation models
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