A SYSTEM AND METHOD FOR DETECTING PLATELET FUNCTION USING UV LIGHT AND DEEP LEARNING ANALYSES OF MICROSCOPIC IMAGES

The present invention provides an agonist free system and method for detecting platelet function using UV light, using UV light as stimulant for platelet aggregation, and image analyses of microscopic images of UV treated platelets (sample) using Multi-scale Fully Convolutional Network (MFCN), and t...

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Bibliographic Details
Main Authors CHOWDHURY, Ranjini, DEB, Suryyani, CHOWDHURY, Anal Roy, CHAKRABARTI, Amlan, DHARA, Ashish Kumar, ROY, Krishnendu, BHATTACHARYYA, Maitreyee, SADHU, Abhishek, DASGUPTA, Anjan Kumar
Format Patent
LanguageEnglish
French
Published 03.06.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTROTHERAPY
HUMAN NECESSITIES
HYGIENE
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MAGNETOTHERAPY
MEASURING
MEDICAL OR VETERINARY SCIENCE
PHYSICS
RADIATION THERAPY
TESTING
ULTRASOUND THERAPY
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Summary:The present invention provides an agonist free system and method for detecting platelet function using UV light, using UV light as stimulant for platelet aggregation, and image analyses of microscopic images of UV treated platelets (sample) using Multi-scale Fully Convolutional Network (MFCN), and training of a deep neural network. La présente invention concerne un système exempt d'agoniste et un procédé permettant de détecter une fonction plaquettaire à l'aide d'une lumière UV, mettant en œuvre une lumière UV comme stimulant pour l'agrégation plaquettaire, et des analyses d'image d'images microscopiques de plaquettes traitées par UV (échantillon) à l'aide d'un réseau entièrement convolutif à échelles multiples (MFCN), et l'apprentissage d'un réseau neuronal profond.
Bibliography:Application Number: WO2020IB61203