RK
Jul 2, 2020
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
May 26, 2020
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 Valijon N
•Aug 7, 2020
Buenas tardes
Me ha gustado mucho el curso, donde aprendà como funciona deep learning y como se definen los modelos de entrenamiento.
By Christophe K
•Feb 6, 2021
Very good Course which add more insight in specific case of unbalance images segmentation through Deep Learning. Definitely a plus!
By Ajay K
•Jun 6, 2020
Learn a new methodology about image analysis of the medical dataset. I am interested to go for the next course in the same series
By Abir E
•Apr 10, 2021
Excellent, but I wanted the instructor to add an assignment or lab notebook on the preprocessing and preparation of DICOM images
By Le N T
•May 11, 2020
In my option, this is such a very good online course about AI for Medical Diagnosis. Although still some difficulties in coding.
By Jay H
•Aug 24, 2021
It was very helpful for me as a beginner to learn. I gained confidence and comfortability in AI in Medicine after this course.
By Camille P
•Apr 23, 2020
Great course, straight to the point. As mentioned you should already have some knowledge about deep learning before enrolling.
By Paul L J H
•May 13, 2021
The course is of a certain degree of difficulties especially the labs. But I think it is an overall good learning experience.
By Moustafa S
•Jul 8, 2020
great course, perfectly organized and have a lot of infos about computer vision and how to tackle 3D images and segmentation
By Gudivada R K
•May 15, 2020
Quite interesting topics to learn and the exercises are really good. It could have been better with lecture notes/ slides.
By Rakshit S
•Sep 21, 2020
Learned a lot about Segmentation and nitty-gritty of how we can can leverage deep learning technique in medical industry
By ayyüce k
•May 16, 2020
It was an amazing experience for me, thank you for all the information! I am proud of a part of the deeplearning.ai team.
By xuantong Y
•Apr 1, 2021
This course is fabulous, encouraging with high-quality material. Everyone who has an interest should enroll in this one.
By Stacy A
•Jun 10, 2020
Great real life examples. Explained in a very simple to understand way even for someone without any industry background.
By Parin K
•Apr 27, 2020
Very good one. However, it required intermediate python programming skill to fully understand and complete this course.
By Mohamed S E
•Apr 13, 2021
Very good overview with focus on realistic challenges with clear description of their origins and also their solutions
By Zanyu S
•Jan 18, 2021
Good instructor, detailed instruction, and prepared materials, but a huge difficult leap the final assignment project.
By Karun T
•Jun 29, 2020
Excellent introduction to AI in Medicine, with lots of good hands on exercises. Looking forward to Courses 2 and 3 now
By Sunil R
•May 15, 2020
Good course. Would highly recommend as a starter course for people looking at getting started in AI for Medical field.
By Dawid D
•Apr 26, 2020
Amazing course, I wish it was available a few years ago as it would help me a lot so far! Anyway, really worth taking.
By Vladimir E
•Jan 5, 2023
Great overview! I liked how to the point all the lectures were and the assignments were very practical and relevant.
By Sanjeevi G
•May 22, 2021
Course was very helpful to understand the classification problem and image tumor segmentation in real medical world
By Olivia M R
•May 19, 2020
Amazing method to really learn a LOT! Enjoyed the scope and the application of AI. More like this specialization
By Ankur K A
•May 6, 2020
Awesome course and i learned a lot from this course related to medical image preprocessing and other techniques.
By Shiva N R
•May 10, 2020
Thanks for the great course, it gave me the well needed boost to start learning AI applications for Medicine.