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:octocat: This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Diagnosis" from DeepLearning.AI Coursera.

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AI for Medical_1_Diagnosis

This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Diagnosis" from DeepLearning.AI Coursera. Enjoy!

The notes contain the modules outlined below:

Week Module Gist
1-1 AI for medical specialization
  • Demo
  • Pre-requisites
  • 1-2 CV to medical diagnosis
  • Medical iamge diagnosis
  • Eye disease and cancer
  • Lab-Data exploration and image pre-processing
  • 1-3 Class imbalance and
    small training sets
  • Model building
  • Training, prediction, and loss
  • Image classification and class imbalance
  • Binary cross entropy loss function
  • Impact of class imbalance on loss calculation
  • Lab-Counting labels and weighted loss function
  • Resampling to achieve balanced classes
  • Multi-task loss, dataset size, and CNN architectures
  • Lab-Densenet
  • A small training set
  • Generating more samples
  • 1-4 Check model performance
  • Model testing
  • Splitting data by patient
  • Lab-Patient overlap and data leakage
  • Sampleing
  • Ground Truth and consensus voting
  • Additional medical testing
  • 2-1 Key evaluation metrics
  • Sensitivity, specificity and evaluation metrics
  • Accuracy in terms of conditional probability
  • Sensitivity, specificity and prevalence
  • PPV, NPV
  • Confusion matrix
  • 2-2 Threshold and Evaluation Metrics
  • ROC Curve and Threshold
  • Varying the Threshold
  • Lab-ROC Curve and Threshold
  • 2-3 lnterpreting Confidence lntervals
    Correctly
  • Sampling from the Total Population
  • Confidence Intervals
  • 95% Confidence Interval
  • 3-1 MRI data
  • Iamge segmentation
  • Lab-MRI data and labels
  • 3-2 Image segmentation
  • Image registration and segmentation
  • Extract a sub section
  • Convolutional Neural Network
  • 2D U-Net and 3D-Unet
  • Data Augmentation for segmentation
  • Loss function for image segmentation
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    :octocat: This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Diagnosis" from DeepLearning.AI Coursera.

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