About this Course

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Intermediate Level

Approx. 19 hours to complete
English

Skills you will gain

Deep LearningImage SegmentationMachine Learningmodel evaluationMulti-class classification
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 3 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Approx. 19 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

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Week
1

Week 1

9 hours to complete

Disease detection with computer vision

9 hours to complete
20 videos (Total 48 min), 3 readings, 2 quizzes
20 videos
Demo1m
Recommended prerequisites1m
Medical Image Diagnosis2m
Eye Disease and Cancer Diagnosis3m
Building and Training a Model for Medical Diagnosis2m
Training, prediction, and loss1m
Image Classification and Class Imbalance1m
Binary Cross Entropy Loss Function3m
Impact of Class Imbalance on Loss Calculation3m
Resampling to Achieve Balanced Classes1m
Multi-Task1m
Multi-task Loss, Dataset size, and CNN Architectures2m
Working with a Small Training Set2m
Generating More Samples3m
Model Testing2m
Splitting data by patient1m
Sampling2m
Ground Truth and Consensus Voting1m
Additional Medical Testing2m
3 readings
Connect with your mentors and fellow learners on Slack10m
About the automatic grader10m
How to refresh your workspace10m
1 practice exercise
Week 1 Quiz: Disease detection with computer vision30m
Week
2

Week 2

4 hours to complete

Evaluating models

4 hours to complete
10 videos (Total 24 min), 1 reading, 2 quizzes
10 videos
Accuracy in terms of conditional probability1m
Sensitivity, Specificity and Prevalence4m
PPV, NPV2m
Confusion matrix2m
ROC curve and Threshold1m
Varying the threshold2m
Sampling from the Total Population1m
Confidence intervals2m
95% Confidence interval2m
1 reading
Calculating PPV in terms of sensitivity, specificity and prevalence10m
1 practice exercise
Week 2 Quiz: Evaluating machine learning models
Week
3

Week 3

7 hours to complete

Image segmentation on MRI images

7 hours to complete
10 videos (Total 25 min), 4 readings, 2 quizzes
10 videos
MRI Data and Image Registration3m
Segmentation3m
2D U-Net and 3D U-Net2m
Data augmentation for segmentation2m
Loss function for image segmentation3m
Different Populations and Diagnostic Technology1m
External validation2m
Measuring Patient outcomes3m
Congratulations!1m
4 readings
Convolutional Neural networks10m
More about U-Net (Optional)10m
Acknowledgements10m
Citations10m
1 practice exercise
Week 3 Quiz: Segmentation on medical images

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