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 Milan G•
Learned a lot from the course, especially the assignments that helped to translate knowledge into action.
By Leon C•
Very interesting theory. It could be more in-depth, and the notebooks with autograder contain some bugs.
By Aldemár F V•
Bueno el curso, los materiales. Por mejorar, que no hay buen seguimiento del avance de los estudiantes.
By Faisal R•
great course But not For the Pharmacy Student because You have to Know The Code Knowledge
By TheBlue P•
The last coding exercise is quite lengthy and difficult, and the videos are too short
By MD M R S•
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 Amir V•
Good & practical, but could've been more advanced
By Sakshat R•
Really nice and well-explained
By Michel F•
Last assignment was insane.
By Huy P•
The problem is quite easy
By Mimi C•
The course is too basic.
By Muntaha S•
By Abdalkarem I F•
By Borun C•
The course is useful but the grading is terrible. In case of testing the code based on test cases, the grader looks into the code and only passes the code if it's written in a way consistent with the hints. This means that vectorized computations are out and one has to implement loops by hand. Furthermore, since its not clear what the grader is complaining about, one ends up wasting a lot of time if one really cares about "completing" the course. Furthermore, despite a lot of complaints the instructors have not fixed this issue.
By Karen F•
What I am finding in most Coursera courses: 1) Important topics are just glossed over in often < 3 minutes. That itself make me wonder if the courses are worth the price even.
2) Code assignments seem to take most time figuring out what the provided code does, and how I am expected to fill in a few blanks. And after completion I am far from being able to, for example, build a basic x-ray classifier from beginning to end.
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.