Extremely well-written content/code and short but illuminating lectures and discussions. Good terse discussions of common metrics, issues with imbalanced datasets, and interesting ways of tackling those issues, U-Net architecture and loss functions for semantic segmentation, and exploration of medical datasets.

Thanks for gathering all the useful material for using AI in medical imaging. I come from the medical imaging background, and I can't express how useful and precise were your teaching materials. I also would like to thank the Slack support system for all the useful hints on how to solve the assignments.

Good course!! The clasification part is similar to classification in other courses (such as tensorflow course from DL.ai) but some medical basics. Good introductory and some good tips. The segmentation part is very explainatory as it's really what's needed to begin in real practice. Keep up! Recommended

It is been my dream to apply AI in healthcare. This incredible course has given me the knowledge that I need to approach medical image data from preprocessing to model development, and prediction. I also learnt some radiological and medical jargons along the way.

Thank you so much Deeplearning.ai.

The course teach me to consider some flaws that i had made back in the preprocessing step and is a good refresher of the metrics of clasification models. Also, the brain mri image segmentation assignment was very special because it serves as a starting point for input a voxel in a neural net.

It is really a great course on applying machine learning and deep learning to medical field. The video lectures are short and easy to follow. Assignments are so great. Really looking forward to take the following courses. Thank you deeplearning.ai and coursera for this amazing course.

How to store and handle the medical image datasets can also be included. As all your assignments had the readymade datasets, I feel bit difficult on the steps on how to store and import the data from our PC or Desktop when we want to apply the same techniques to our own datasets.

An excellent insight of Medical Image Processing, highly recommended for those who are working on Medical Images. Segmentation and boundary delineation was not covered in details, maybe in the follow up courses this aspect will be covered more deliberately. Thank you coursera .

Overall courses is very good though the course is short with respect to video lecture and course material the assignments are bit lengthy and tough. It would be good to have assignment code walk through as we have refer multiple outside materials w.r.to python coding.

Great starter course on AI in medical use. The course was very well structured. Definitely recommend this course to someone who is looking to apply AI in medical field. The course requires some knowledge of python programming and understanding of neutral network.

Excellent well metered presentations and quizzes. The final quiz really made you think and understand the entire process. I tried not to use the discussions, however, as the final quiz submission was getting close, reached out to Mubashar. Zeroed in on my issue!

Really good course for learning to train biased and complex image datasets. I was waiting for this course since it was first introduced on Youtube deeplearning.ai. Feeling really satisfied that the course was exactly the same level I was expecting it to be.

Excellent course which introduces key concepts of AI in medical diagnosis. Concepts are explained in a clear and effective manner for both videos and labs. Videos are extremely bit-sized and to the point. Good for beginners. One of the best courses around.

Awesome course. In such a short period of time, I got up and running on the medical image classification. Though, this is just scratching the surface, but hope to use this course base my experiments on. Thanks Andrew Ng & Pranav for starting this course.

Though I'm not from a medical background, the ideas and concepts explained in this course were very insightful and relate to problems in my domain. Great thanks to the deeplearning ai team and Coursera for putting together a wonderful course yet again.

Very detailed yet elementary introduction of AI application in Healthcare. I have taken more advanced courses in the university, and I wish to know this course way before I have taken one. I enjoyed it a lot and it helped me bridge the gap. Thank you!

This course is well organized and have a good flow, that helps to understand all the facts. The assignments are also good and have a lot to learn. Thank you very much for providing a platform for students to learn this area, AI in medical applications.

I came here to know and build model that actually help patients in detecting the diseases and i have got the skills . Coursera is a platform where you not only read, but it also give you the chances to interact with people who are expert in this field.

This is an excellent course. It teaches advanced topics on two real projects. Homework notebooks are well prepared, and don't cause frustration. I copied all learning materials an will revisit them at depth as I read suggested papers.

Great course.

Thank you, Coursera :). The course is really helpful in developing skills for AI in Medicine. The course is well equipped with precise and meaningful videos augmented with good readings. The kind of assignments and quizzes are so satisfying.

Very satisfactory course. I enjoyed the deep learning exercises, but I have the feeling that some interesting features are omitted. For example, the recording of images before training the model, or a real example of complete training.

Excellent course, straight forward to what is important, but doesn't forget to give all the material to go more in-depth, both in medical and machine learning perspectives.

The assignements are very well designed and not frustrating.

The Great Course with practical life case studies on Chest xray and MRI image segmentation.

It will really helpful to explore another domain like Medical with implementation of AI.

Thanks Pranav for the Guidance throughout the course

Nice course. It was fun cool with the applied applications that ML can be used for in medicine. Really like how they focused a week on metrics because it's super important to think about that in order to properly evaluate models.

Simply the best place to learn about AI and its applications towards medicine!!

The contents were very easy to follow and elucidative, together with excellent assignments to put these contents in practice.

I absolutely loved it!