RK
2020年7月2日
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
KH
2020年5月26日
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 Deleted A
•2020年4月21日
Great Course!
創建者 Mustak A
•2021年3月21日
great course
創建者 Haiyun H
•2020年10月1日
ありがとうございました。
創建者 RICARDO A F S
•2020年8月6日
Great course
創建者 Anamitra M
•2020年7月19日
Great course
創建者 ahmed g m
•2020年5月21日
great course
創建者 鲁伟
•2020年5月12日
great course
創建者 wonseok k
•2021年2月24日
fantastic!!
創建者 Keerthi G
•2020年7月18日
Excellent
創建者 YangBochen
•2021年4月18日
Terrific
創建者 Kamlesh C
•2020年6月15日
Thankyou
創建者 Santiago G
•2020年4月24日
Thanks!
創建者 salisu A
•2021年6月20日
Thanks
創建者 Bùi M N
•2021年5月14日
T
H
a
n
k
s
創建者 Jeff D
•2020年11月8日
Thanks
創建者 Abraham G
•2021年12月6日
great
創建者 Ajay K
•2020年4月25日
W
O
R
T
H
創建者 ROBERT A R V T C
•2020年8月28日
nice
創建者 Bikash k K
•2020年7月15日
good
創建者 DR. M E
•2020年5月20日
Good
創建者 Ana C S B
•2020年6月6日
.
創建者 Nirav S
•2020年5月25日
Overall it is still a good course and worth doing but I won't expect to be able to clear a job interview in medical machine learning based on this course. It touches many nice topics such as what to do if data is unbalanced, different metrics about evaluating the models. However the part about MRI segmentation seems very rushed. I would consider this as a very basic course and the student would have to spend significant personal time exploring on his/her own to really understand the concepts presented in the class. It wasn't easy for me to get help on some programming assignments when I got stuck a. Moreover, when I didn't get a perfect score on the programming assignments, I don't know where I made the mistakes, which makes it impossible to correct them.
創建者 Sameer V
•2020年12月31日
The course has been designed well, learnt new terminology which I was not aware of previously when working on 2D datasets. Good introduction to 3D images. The course could be a bit more detailed, for example, since data preprocessing is very crucial, it would have been great to have had an assignment on cleaning 3D data using image registration, alignment, etc. Additional references for reading mainly books would have been nice. Finally, brief details on the type of computing power and memory is required especially for 3D images would have been very helpful. If I run the code on my laptop, I am sure it will crash, would be nice to have an idea of the requirements. Anyways, thank you for the course, very nice introduction to AI in medical field.
創建者 Erwin J T C
•2020年5月8日
As a Radiologist from the Philippines who has been desperately trying to find some kind of "grounded center" for all the AI/ML topics I've been studying online, this is a really great way to consolidate what I've learned so far especially for AI applied to Radiology. I've been training models for computer vision (based on free tutorials on-line) but this has definitely given me better insight as to how those models actually work and how they come together from simple numpy arrays, to tensors, layers, and finally into compiled models.... giving me a better appreciation for how activation functions and convolutions actually fit into the development of convolutional neural networks. More power to the team.
創建者 Carlo F
•2020年11月23日
The course was interesting but did not make me feel ready to apply a DL model on such data. It'a like being in a sandbox all the time: you play, you see things, then you are required to build your own, little, insignificant castle with your little basket, but no more than that. I think that real problems in AI application in this field are not about calculating sensitivity, specificicity or standardazing data, things for whom there are already functions built in libraries. I feel I know more this job, but i wouldn't be ready if i didn't know it yet before.