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!
por D J R K•
The course videos are excellent and the best part of the course is in-depth assignments which are really helpful in correlating the contents of the course videos.
por Marwa A E•
Amazing Course, the exercises are abit hard and not that completely explained in the examples but overall, I'd recommend this course aloooot.
Thank you so much :)
por Andre A•
Without any doubt, it is an important course for those who want to learn more about AI applications in Medical Diagnosis. The course is also well structured.
por Lakshmana P•
Excellent content and the way the learners knowledge is evaluated is good. I got good mentor support replying my questions and resolving issues quickly
por Wasim A•
Very informative and practical. I learned so many things, It helps me to boost my confidence that I can apply these concepts in the field of medicine.
por Brianna R•
Learned so much in this short course! Great lectures, study material, and assignments. Incredibly excited for the next course in this Specialization.
Thanks a lot Pranav for this course, I am now able to understand the concept of sensitivity, specificity and roc like evaluation terms much better.
por Prashant M•
Excellent course... there was no course available online which dedicates AI for biomedical domain. Huge thanks to Andrew Ng and Pranav Rajapurkar
por Vincent L•
Very interesting. A lot of notion which requieres more than 3 weeks to be "digested". I will for sure come back on it for additionnal thinking.
por MUSTAFA M T•
As a student and software developer, I really enjoyed this course. If you're interested at medical imaging and AI, you should join that course!
por Sawrup K•
This course really helps me a lot. Who wants to jump in medical image classification or disease detection, they should enroll in this course.
por Jay U•
Excellent content. Thank you for putting this course together. Would love additional material on deep learning methods related to healthcare.
por Pramit D•
The course is great in terms of theory and implementation of that theory. But a little more explanation in image segmentation is recommened.
por Mohamed Q•
a very well done course, the community is very helpful and the mentors are awesome, i like the events they organized throughout this course
por Haroon K•
Great course. Prior knowledge of deep learning really help me. so i recommend to take basic deep learning course before this course.
por Valijon N•
Me ha gustado mucho el curso, donde aprendí como funciona deep learning y como se definen los modelos de entrenamiento.
por Christophe K•
Very good Course which add more insight in specific case of unbalance images segmentation through Deep Learning. Definitely a plus!
por Ajay K•
Learn a new methodology about image analysis of the medical dataset. I am interested to go for the next course in the same series
por ABIR E•
Excellent, but I wanted the instructor to add an assignment or lab notebook on the preprocessing and preparation of DICOM images
por Le N T•
In my option, this is such a very good online course about AI for Medical Diagnosis. Although still some difficulties in coding.
por Jay H•
It was very helpful for me as a beginner to learn. I gained confidence and comfortability in AI in Medicine after this course.
por Camille P•
Great course, straight to the point. As mentioned you should already have some knowledge about deep learning before enrolling.
por Paul L J H•
The course is of a certain degree of difficulties especially the labs. But I think it is an overall good learning experience.
por Moustafa S•
great course, perfectly organized and have a lot of infos about computer vision and how to tackle 3D images and segmentation
por Gudivada R K•
Quite interesting topics to learn and the exercises are really good. It could have been better with lecture notes/ slides.