Using Python for Biomedical Image Processing

Dipam paul (~dipam)


This talk would essentially entail taking a test case of diseases - Diabetic Retinopathy and Diabetic Macular Edema (Both these diseases are chosen because they have no symptoms and could lead to vision impairment - also treated as a medical challenge). We use Machine Learning and numerous Image Processing techniques to notice the pattern of Exudates, Blood Vessel Segmentation and Microaneurysms from Retinal images to detect Diabetic Retinopathy and Diabetic Macular Edema. The major challenge in Biomedical Image Processing apart from reaching a top notch accuracy score is to find the safest approach possible for analysis - both should be in parity. There is no scope for loss of data. Then we try to incorporate our model as a web based application which could be very useful for users and doctors for early diagnosis and better prediction - All using Python!


Working knowledge of Python

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Speaker Info:

I'm a senior year student from KIIT University, India. I have always been fascinated by the wonders one can do using Python, but my periphery of interest largely lies in Data Science, playing around with Machine Learning models and Neural Nets! Hoping to see you at the conference. Once bitten, twice eager - do come and say hi! :)

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I have presented on a similar topic at PyCon US 2019. Post which I have made a lot of refinements to my model. Hope to spread the same ideas at PyCon India 2019!

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Id: 1488
Section: Data Science, Machine Learning and AI
Type: Poster
Target Audience: Intermediate
Last Updated: