SYSTEM AND METHODS FOR CHARACTERIZING CELLS AND MICROENVIRONMENTS

Cell identification and classification is a well-known problem in the pathology domain that help identify microenvironments. In addition to the characteristic of each cell, its interactions with the neighboring regions or other cells is also important. This involves correct identification of neighbo...

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Main Authors SZU, Clifford, TONG, Darick M, CHENG, John, TONG, Noriko Y, SUBA, Eric J, ZAPOL, David G, BORUDE, Nishant, SURESH, Nivedita, SZU, Evan, BHATIIA, Vinona, CHU, Michael H
Format Patent
LanguageEnglish
French
Published 30.12.2021
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Summary:Cell identification and classification is a well-known problem in the pathology domain that help identify microenvironments. In addition to the characteristic of each cell, its interactions with the neighboring regions or other cells is also important. This involves correct identification of neighboring elements and analytically representing the interactions between them. This disclosure presents a system that combines many such features, some hand engineered and some machine derived through training of Deep Learning algorithms that can be used to study the microenvironments. L'identification et la classification de cellules sont un problème bien connu dans le domaine de la pathologie qui aident à identifier des micro-environnements. Outre la caractéristique de chacune des cellules, leur interaction avec les régions voisines ou d'autres cellules est également importante. Ceci implique l'identification correcte d'éléments voisins et la représentation analytique des interactions entre eux. La divulgation présente un système qui combine de nombreuses fonctionnalités de ce type, certaines conçues à la main et certaines automatiques dérivées par l'entraînement d'algorithmes d'apprentissage approfondi qui peuvent être utilisées pour étudier les micro-environnements.
Bibliography:Application Number: WO2021US38974