[Technical Talk] Machine Learning and Deep Learning approaches for Biomedical (Retinal Disease Diagnosis) and medical (myocardiyum segmentation) applications

IEEE EMBS Malaysia Chapter in collaboration UPM Faculty of Engineering invites you to a technical talk by Prof Fabrice Mériaudeau from University of Burgundy – France.
Diabetic retinopathy, Age-related macular degeneration as well as glaucoma are the main retinal diseases. Suffering from these can lead to blindness and their progression in developed and developing countries raises high concerns. Therefore, effective and early diagnosis and treatment are highly desired. Currently, retinal medical imaging is one of the main diagnostic means for eye diseases. This talk will address the latest Computer Aided Diagnosis techniques applied to spectral-domain optical coherence tomography (SD-OCT) as well as Fundus Images. It will cover the basis of preprocessing to machine learning with approaches based on Bag of Features, Bag of Word, Feature reduction, as well as the latest Deep Learning architectures either used for segmentation (vessels) or classification.
The second part will present some recent results for automatic myocardium segmentation on MRI images to assess viable segments. Latest deep learning models and ensemble of models will be presented.
If interested, here are the details of the talk:
Date: 29th August 2019 (Thursday)
Venue: Lecture room 8, Faculty of Engineering, UPM (Location on Google Map)
Talk is free! However, to help us plan refreshments please RSVP.
 
Best Regards,
Alpha Agape Gopalai 
Chair,
IEEE EMBS Malaysia Chapter
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