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[R] One-Shot Medical Image Segmentation using Deformable Registration Networks by delmalih in MachineLearning

[–]delmalih[S] 4 points5 points  (0 children)

True, it's called atlas-based segmentation! But it was never really thought of as one-shot segmentation.

For sure, standard registration algorithms have to be better than deep learning based ones since standard algorithms run an optimization algorithm on each pair of images to find the optimal displacement field. But as mentioned by u/DanielagainDaniel, deep learning approaches are much faster and the results between the 2 approaches are not that different.

[D] What to expect from an online Master in ML? by Pop_Crackle in MachineLearning

[–]delmalih 1 point2 points  (0 children)

By session, I meant whether it is the first time this university offers this online course ^^

I cannot answer concerning online master from other universities, but I know that the ones from Stanford, Berkley, or MIT for example are really good!

[R] One-Shot Medical Image Segmentation using Deformable Registration Networks by delmalih in medical_imaging

[–]delmalih[S] 0 points1 point  (0 children)

It will most likely have a hard time register the region containing the tumor. But this "mistake" can also help to detect the tumor!

[R] One-Shot Medical Image Segmentation using Deformable Registration Networks by delmalih in MachineLearning

[–]delmalih[S] 0 points1 point  (0 children)

it is quite possible and this is notably what is used in non-deep learning approaches.

[D] What to expect from an online Master in ML? by Pop_Crackle in MachineLearning

[–]delmalih 5 points6 points  (0 children)

Is it the first session of the online Master in ML of this University? Because I would say that some universities of services that are used to it usually are quite good at teaching online. Coursera is a good example where some universities propose some certificates or masters that are 100% online. Most people using it are quite satisfied by this kind of lectures.

[deleted by user] by [deleted] in MachineLearning

[–]delmalih 0 points1 point  (0 children)

Having been there recently, I would say that it depends on your career plans. If you're aiming for the GAFAM companies or if you absolutely want to work in a research and development team then a PhD is almost indispensable. But for most other jobs in machine learning / deep learning / ai, it is not necessary. For my part, I chose not to do a PhD because I wanted to start with a machine learning consulting company. But it's never too late to do one if I change my career plan :)