It was a nice course. Though it covers basics. A follow-up advanced specilization can be made. Overall, it's sufficient for beginner for an engineer trying to learn application of AI for medical field
Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!
By Faisal R•
great course But not For the Pharmacy Student because You have to Know The Code Knowledge
By Dishant S•
The last coding exercise is quite lengthy and difficult, and the videos are too short
By Md. M R•
Liked this course. But some topics were not explained well. Like ROC curve
By Alex K•
Great course, I wished some content could have been covered more in depth
Best course for AI for medical diagnosis please do the pre-requisite.
By Abbas A K•
it was better to have more detail of loss functions for segmentation
By Srinadh R B•
As a case study for deep learning, this course helps us a lot.
By Josh B•
They started diving deeper towards the end of the course.
By Zabirul i•
Need to more clarify the notebook content in videos.
By Sakshat R•
Really nice and well-explained
By Michel F•
Last assignment was insane.
By Pham N H•
The problem is quite easy
By Mimi C•
The course is too basic.
By Muntaha S•
By Abdalkarem I F•
By Jakub V•
This is interesting topic and I learnt how these things are done in medicine. However, from technical point of view, there are many issues. Bugs, typos, unexplained terms (dear learner, now please calculate background ratio) make this course messy and leaves the taste of "rushed product of corona crisis".
By Volodymyr F•
The course is very shallow. It explains in detail some simple concepts like Sensitivity and Specificity and then immediately touches complex topics like image recognition architectures, without much explanation. The course materials are unclear and the auto-grader is buggy.
By Amina K•
Instructions in the graded assignment did not have clear instructions. Sometimes, correct implementation was graded 'incorrect' by the grader. Also, videos of the ROC curve was not clear about why it is needed or what does it say about a model.
By Tasneem. A•
i took this course then realised it is beyond my understanding. I am a grade 12 student . please help me to cancel this ,so, i can take another course which can benefit me.
i will appreciate your help.
By Subair A•
Too much task was given but less explanation. It was really hard to complete all the tasks. It would be better if easiest tasks are given or more explanation with huge explanation.
By Harit J•
Good instructor but concepts were not taught in-depth. The assignments gave only a superficial understanding of the subject and cannot prepare one for working in the industry.
The course touches on several aspects of ML for medical. However, the content seems too little and narrow. Only a few cases and architectures are explored.
By Sundeep L•
Would like it if the projects were more in-depth. We should understand the end-to-end pipeline: from preprocessing to deploying in production
By Laurin R•
Some concepts used in the assignments are note explained in the videos e. g. the calculation of AUC.