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Classification and Segmentation: Diagnose diseases from x-rays and 3D MRI brain images. Predict patient survival rates more accurately using tree-based models. Estimate treatment effects on patients using data from randomized trials.

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AI_for_Medecine

This deeplearning.ai Specialization is divided into 3 courses with 1 practical project per week:

1. AI for Medical Diagnosis:

Create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders.

1.1 Week 1: Chest X-Ray Medical Diagnosis with Deep Learning.

1.2 Week 2: Evaluation of Diagnostic Models.

1.3 Week 3: Brain Tumor Auto-Segmentation for Magnetic Resonance Imaging (MRI).

2. AI for Medical Prognosis:

Predicting the future health of patients.

3. AI for Medical Treatment:

Comming...

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Classification and Segmentation: Diagnose diseases from x-rays and 3D MRI brain images. Predict patient survival rates more accurately using tree-based models. Estimate treatment effects on patients using data from randomized trials.

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