May 21, 2020
Complex topics are explained in a simple and straight-forward manner. Really interesting real-life scenarios are used to keep the student interested throughout the whole course. 100% recommend it.
May 06, 2020
Last assignment may be divided into two files... as it is becoming heavy to solve and even upload.\n\nRest is fine. Congratulation on designing such a pin pointed course in Medical Diagnosis
創建者 Surya P S•
Apr 21, 2020
IMO this is the weakest course offered by deeplearning.ai. It feels something more our of a medium blog than a full course that someone should pay money for. The good news is that you can sign up for a 7 day free trial and finish it before 7 days are over, so you're not out of any money, just your time. What do you learn? Some new metrics that are specific to medicine (specificity, sensitivity) and the concept of class imbalance (prevalence). The code assignments are designed by someone who understands the concepts well but is unable to teach some of them well (I'm being super critical here, coming from the viewpoint of someone who might spend $49 for a month on this). At the end, I'm unsure what you can say you learned and if you can really demonstrate any concepts in a job interview at a healthcare (adjacent) job. There was some demonstration of segmentation, but a lot of it is really left up to the learner to experiment and learn from. You could talk about these things in a job interview, but a technical round would quickly discover that your knowledge is surface and not really in depth. My 2 cents (stars?). I apologize for being critical, but I've put 3 days into this course and not learned anything I couldn't have from a medium / towards data science blog. I do have higher expectations from courses coming from deeplearning.ai
創建者 Roberto C•
Apr 22, 2020
Too basic, I felt I learnt almost nothing. There are a lot of nice techniques there (for example GradCam), but the exercises focused on implementation details instead of algorithm comprehension. Sincerely, explaining U-NET and segmentation in less than 20 minutes is quite ridicolous, in general it feels a really rushed course, nice if you can finish it for free, but not for long term learning.
It is marketed as a real data course, but actually noone of the problems of real data are actually presented, just quickly talked about in the videos. It feels really substandard compared to the others deeplearning.ai courses
創建者 Yogesh G•
Apr 21, 2020
The programming assignments are pretty engaging and well built as it analyzes MRI and x-rays, the lectures are also short and precise. As the course doesn't require any medical background , if you have general knowledge of machine learning and programming in python, this may be a exciting course for you to explore, learn and apply some wonderful examples of medical diagnosis using machine learning.
創建者 John J•
Apr 20, 2020
A great review of how AI can be applied to the field of diagnostic medicine, with many of the practical issues that must be considered. Some prior experience with deep learning and using python and keras is advised, although the instructor(s) do all of the hard keras model development for you. I'm looking forward to the other courses in the specialization!
Apr 25, 2020
The course is consisted of only 3 weeks which is very little for such a diverse and complex subject. Most exercises were trivial and the automatic grader was working very poorly which made me lose a lot of time thinking my solution was incorrect when it wasn't. Some exercises were poorly written.
創建者 Jesús F B•
Apr 19, 2020
創建者 Robin G•
May 05, 2020
Perfect! I am a PhD student in neuroscience. I already made my master thesis in machine learning. Now my PhD thesis will also be in the field of AI in medicine. This course is great. It shares so many useful functions and food for thought for my own projects! Definitely not too easy but also not to difficult. Before taking this course make sure to have enough experience with python programming, some understanding of machine learning and best some understanding of typical problems in medicine research.
創建者 Yashveer S•
Apr 22, 2020
This was a great practical course overall especially for deep learning models. I admire that proper metrics were used to evaluate the different models that were built into the assignment which is unique compared to other machine learning courses where the standard metric is used.
創建者 Abhijeet V N•
May 06, 2020
Last assignment may be divided into two files... as it is becoming heavy to solve and even upload.
Rest is fine. Congratulation on designing such a pin pointed course in Medical Diagnosis
創建者 Anindya S•
Apr 18, 2020
Excellent. Well structured for beginners, especially with the inclusion of evaluation metrics, methodology and their vast significance in the medical domain of AI.
創建者 Dadhichi T•
Apr 18, 2020
It was great experience visiting deeplearning.ai course, kudos to the team! Really helpful and a must for AI learner!
創建者 CESAR S•
May 25, 2020
May 11, 2020
Introduction to the data and problem space in the programming exercises is useful, though there is a ton of boilerplate and a lot of the time will be spent messing around with Python volume manipulation, nothing really to do with medicine at all. Lectures are very brief and not very detailed. The waving tiny cursor is always a distraction. Apparently deeplearning.ai is embracing Slack instead of the discussion forums, which in my opinion is a significant downgrade. If you thought you had trouble finding information in the discussion threads before, you had no idea. It's just an unstructured mess. Also seems the mentors haven't really found their footing,yet. Most of their interaction seems to consist of "DM me your code" but not adding insight or enhancing the learning. Glad I finished the course during the 1 week free trial...it was worth it.
創建者 Vitor R•
May 13, 2020
Hard to say this course teaches a lot of practical or useful topics on AI for Medical Diagnosis. Other than introducing the medical concepts of specificity and sensitivity, the remaining medically oriented topics (such as algos for processing medical images, in particular RMI 3d data) were just glanced over. Concepts such as ROC were poorly explained in practice (I reviewed the content multiple times and couldn't find the answer for the quizz questions, having to resort to research the topic outside the class materials), while spending a lot of time in video and exercises implementing our own U-net, using time that would have been better spend focusing on medical related AI practices.
創建者 Rahul N•
May 03, 2020
Pretty amazing course. The first-ever proper course on Medical Image Processing and modeling. Instructors do an amazing job in explaining the best practices which must be followed while dealing with medical data. Learning tasks like Classification & Segmentation, appropriate loss functions, and performance metrics are explained well. The lab module provides a solid hands-on for the concepts introduced in the theory session. A Highly recommended course and I'm thankful for the whole team for coming up with such solid content.
創建者 Felipe K•
Apr 27, 2020
The course is great. It covers a lot of important concepts and it teaches really well.
I would just comment on minor issues that I found. One is the Axial/Coronal planes when explaining the different MRI sequences in each channel.
The other one is the definition of precision and recall in one of the notebooks. It says they are sensitivity and specificity, but actually they are positive predictive value and sensitivity.
These minor issues in no way detract from the great course.
創建者 Binit K P•
May 23, 2020
It was great learning curve and experience for me to have a knowledge and understanding of how AI can impact the Medical industries in near future. I really enjoyed the course content, quizzes and the programming assignments. Everything was designed in an easy and understandable way so that anyone can grab the shared knowledge. A lot thanks to the whole team associated in the smooth conduct of this course.
創建者 Alexander S D•
May 20, 2020
I knew it was going to be a difficult course, but its structure allowed me to follow along without too many issues! The assignments were fair and understandable, however, there were instances where I struggled a little bit (that might just be my own struggle...). Despite that, all in all a great course! I can now say with confidence that I am proficient (but not fluent) with TensorFlow.
創建者 Juan I C•
May 03, 2020
Really an outstanding course, very didactic and practical, and above all with cutting-edge material. It really takes you where it matters. It is highly recommended to introduce yourself to medical applications of artificial intelligence, and for anyone who wants to go deeper into artificial intelligence concepts. Thank you very much to the instructors. I really enjoyed it.
創建者 MD N I•
May 09, 2020
This course gave me a good amount of knowledge for a deep understanding of Ai in medical imaging Diagnosis and Segmentation. It gave me a good way to evaluate model performances. I am recommending everyone who wants to do furthermore analysis and work in AI in Medical Imaging. Thanks to every mentor and course creator for such an insightful course. Love you all guys.
創建者 Omiya H•
Apr 28, 2020
I learned a lot from this course. Each lab, assignments, and weekly quizzes enabled me to take a deeper dive into how these models and image processing work on medical images. It made me wear my thinking cap and think deeply into each parameters and features and what mathematical-statistical models are used for prediction and classification analysis!
創建者 Jeiran C•
May 11, 2020
Thanks for gathering all the useful material for using AI in medical imaging. I come from the medical imaging background, and I can't express how useful and precise were your teaching materials. I also would like to thank the Slack support system for all the useful hints on how to solve the assignments.
創建者 Santiago I C•
Apr 22, 2020
Good course!! The clasification part is similar to classification in other courses (such as tensorflow course from DL.ai) but some medical basics. Good introductory and some good tips. The segmentation part is very explainatory as it's really what's needed to begin in real practice. Keep up! Recommended
創建者 Murtala D M•
Apr 23, 2020
It is been my dream to apply AI in healthcare. This incredible course has given me the knowledge that I need to approach medical image data from preprocessing to model development, and prediction. I also learnt some radiological and medical jargons along the way.
Thank you so much Deeplearning.ai.
創建者 Rangel A•
Apr 17, 2020
The course teach me to consider some flaws that i had made back in the preprocessing step and is a good refresher of the metrics of clasification models. Also, the brain mri image segmentation assignment was very special because it serves as a starting point for input a voxel in a neural net.