Case Study: TensorFlow in Medicine – Retinal Imaging (TensorFlow Dev Summit 2017) October 20, 2019 Tags:Dev, Dev Summit, developers, Fullname: other, GDS: Full Production, google, Livestream, Location: MTV, machine learning, medicine, Product: Web, retinal imaging, Summit, Team: Scalable Advocacy, Tensor Flow, TensorFlow, Type: Live Event Related Posts What is Cataract | Best Home Remedies For Cataract | Save Eyes From Cataract RWBY Needs A New Beginning. Dr. Jimenez Discusses Retina Diseases About The Author Larry Olson 15 Comments AJ Usog Are the images using the same type/quality imaging machine? if not, you've introduce image quality as a noncontrolled variable which is the one control that needs to be tight (exact same tolerances for precise validation) with this development. February 16, 2017 Reply Nikhil Verma This is really great! February 16, 2017 Reply Dinker Chaudhary this girl is sweet February 16, 2017 Reply Carlos Chau 09:23 Nikon is not a little company, it's a huge DSLR maker LOL (I'm only saying this for a laugh)I work on healthcare data and this is exciting news and inspiration to me February 16, 2017 Reply Katsufumi Wang one of the biggest obstacles of any product commercialisation is economics, in addition to politics of industry. having overcome the technical aspects (which in itself is another major obstacle), I hope this gets out to better the lives of many. thanks February 16, 2017 Reply Arun Das Awesome work ! One of the main points that Lily Peng pointed out was about data and its validity in general. As far as I know, DRIVE, STARE and Kaggle datasets are the best ones out there for deep-learning enabled Diabetic Retinopathy research. I am also amazed by how versatile Inception architecture is. She also pointed out that the network is pre-trained on ImageNet and thus got better results. Impressive work by the team ! Kudos guys ! February 19, 2017 Reply Gregor Samsa I really like all related to vision or image science, but it is hard to get into bioinformatics (or computer vision related) field even with computer science degree. Any advice if someone here has the answer on question 'How other people do this?' is valuable for me, so please share your thought! February 19, 2017 Reply bruce bagnoli Exciting work with the potential to prevent so much suffering. The integration of the hardware, ML, and clinical experience is powerful. Thanks for sharing! May 18, 2017 Reply mayur newase Is data available to public?? August 11, 2017 Reply Escape Felicity That idiotic rising tone makes me sick December 3, 2017 Reply saurabh dasgupta Excellent. Keep up the good work March 5, 2018 Reply Ashutosh Kushwaha The best statement " In the previous life I was a doctor and have been repurposed as Google Product manager" 🙂 May 13, 2018 Reply Nikhil S If you are so concerned about diabetic retinopathy, make your dataset open-source. July 23, 2018 Reply MB 03:33 she says that for the two images all grades are classified. This is not correct. For the lower image there is no blue (no DR). Also no orange (severe) in the upper image?! February 4, 2019 Reply Biotron What kind of coding do you use in tensor flow to detect these DR June 7, 2019 Reply Add a Comment Cancel reply Your email address will not be published. Required fields are marked *Comment Save my name, email, and website in this browser for the next time I comment.