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!
創建者 Abdalkarem I F•
創建者 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.
創建者 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.
創建者 Kenny F C•
As other reviews have mentioned, though the course introduces important concepts for evaluating models in a medical context (confusion matrix, ROC curves), the concepts and exercises were too basic and surface level. Keep in mind the medical context is solely from the point of view of medical imaging. The autograder was also buggy and I was unable to start new topics in Discourse to ask questions about it.
創建者 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".
創建者 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.
創建者 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.
創建者 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.
創建者 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.
創建者 Ravi C•
Expected content that would be new but found content which I was already familiar with. Disappointed a little on that. Course could have some more interesting and new content.
創建者 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.
創建者 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
創建者 Laurin R•
Some concepts used in the assignments are note explained in the videos e. g. the calculation of AUC.
創建者 Pedro G•
The lectures are good, but I experienced many issues on homeworks.
創建者 Thiago M d O•
Content is too shallow, could have gone deeper into some topics.
創建者 mohit r•
The codes should have be explained ...
創建者 Andrey A•
Too general for practical usage
創建者 Hanan S A•
good as an introduction
創建者 Matthias K•
創建者 Apoorv G•
I first took Deep Learning Specialization by Andrew and then took NLP specialization by Younes Mourri and then this course. One difference I noticed that Andrew explained all the stuff by himself in detailed 8-10 min video and here these in these two coursers, the two instructor explained concept in 1-2 min video and left the remaining concept to learned by ourselves through notebooks. Andrew put much more effort than these two guys.
創建者 Michael L•
Did a good job of explaining some of the terms and processes involved in using AI for medical diagnosis, but the flow and organization of the course were really poor and the methods taught were not general enough to be able to extrapolate to use in new ways outside of the course.
創建者 Kemal U A•
There is no reply or response to discussion forums from the instructors and assessment of the assignments are always zero so I can not pass to week two even my assignment's outputs are matched with the correct ones .