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Accueil > Équipes > ARMEDIA > Séminaires ARMEDIA > Séminaires 2019

séminaire ARMEDIA Presenté par Dr. Priyadarshini .A. Pattanaik, le 27/06/2019 à 14h en H218

séminaire ARMEDIA Presenté par Dr. Priyadarshini .A. Pattanaik, le 27/06/2019 à 14h en H218

L’équipe ARMEDIA organise un séminaire autour du thème Machine learning en imagerie, le jeudi 27 juin à 14h en H218 (site d’Evry) et salle de visioconf de NanoInnov à Saclay (par visio). Les détails de l’orateur et du sujet figurent ci-dessous.
Nous vous attendons nombreux.

Title : “Machine-Learning Based Classification of Microscopic Blood Smear Images for Early Detection of Malaria"

Presenter : Dr. Priyadarshini .A. Pattanaik (visiting Post Doctoral fellow)

Abstract :
Malaria is a serious global health problem, rapidly grows to complications and may lead to death without early treatment.This is a deadly sturdy disease to identify and is too hard to classify malaria parasites in microscopic blood smear images. The key to the accurate result of identification of malaria parasites with minimum time, cost and effort is a tough job and needs the choice of morphological features to represent the cell.
The research presents automated computational models for processing of microscopic blood smear images and evaluates its efficacy for identifying and quantifying malaria in real time. The rational focus was to develop a multi-faceted deep learning approach to analyze large image data sets for the purpose of solving tasks meticulously in a stratified description paradigm using non-linear transformation architectures. The overarching objective of this research comprehensively elaborates the challenges in malaria parasite identification and quantification in the field of microscopy image processing due to variations in sample preparation and uncertainty of cell classes, and presents patient comfort centric solutions.