Výsledky vyhledávání - "Kouayep Sonia Carole"

Akademický článek

ELIPF: Explicit Learning Framework for Pre-Emptive Forecasting, Early Detection and Curtailment of Idiopathic Pulmonary Fibrosis Disease

Autor: Tagne Poupi Theodore Armand, Md Ariful Islam Mozumder, Kouayep Sonia Carole, Opeyemi Deji-Oloruntoba, Hee-Cheol Kim, Simeon Okechukwu Ajakwe

Publikováno v: BioMedInformatics, Vol 4, Iss 3, Pp 1807-1821 (2024)

(1) Background: Among lung diseases, idiopathic pulmonary fibrosis (IPF) appears to be the most common type and causes scarring (fibrosis) of the lungs. IPF disease patients are recommended to undergo lung transplants, or they may witness progressive

Externí odkaz: https://doaj.org/article/a3c5e2df1af64d3597078defe59049a6

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Akademický článek

Alzheimer’s Multiclassification Using Explainable AI Techniques

Autor: Kamese Jordan Junior, Kouayep Sonia Carole, Tagne Poupi Theodore Armand, Hee-Cheol Kim, The Alzheimer’s Disease Neuroimaging Initiative

Publikováno v: Applied Sciences, Vol 14, Iss 18, p 8287 (2024)

In this study, we address the early detection challenges of Alzheimer’s disease (AD) using explainable artificial intelligence (XAI) techniques. AD, characterized by amyloid plaques and tau tangles, leads to cognitive decline and remains hard to di

Externí odkaz: https://doaj.org/article/97dd573078214c469d610d94b6eaf9db

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Akademický článek

Cluster Analysis of Cell Nuclei in H&E-Stained Histological Sections of Prostate Cancer and Classification Based on Traditional and Modern Artificial Intelligence Techniques

Autor: Subrata Bhattacharjee, Kobiljon Ikromjanov, Kouayep Sonia Carole, Nuwan Madusanka, Nam-Hoon Cho, Yeong-Byn Hwang, Rashadul Islam Sumon, Hee-Cheol Kim, Heung-Kook Choi

Publikováno v: Diagnostics, Vol 12, Iss 1, p 15 (2021)

Biomarker identification is very important to differentiate the grade groups in the histopathological sections of prostate cancer (PCa). Assessing the cluster of cell nuclei is essential for pathological investigation. In this study, we present a com

Externí odkaz: https://doaj.org/article/f54e7645a4cf4c159dc396e992134fbc

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Cluster Analysis: Unsupervised Classification for Identifying Benign and Malignant Tumors on Whole Slide Image of Prostate Cancer

Autor: Subrata Bhattacharjee, Yeong-Byn Hwang, Rashadul Islam Sumon, Hafizur Rahman, Dong-Woo Hyeon, Damin Moon, Kouayep Sonia Carole, Hee-Cheol Kim, Heung-Kook Choi

Publikováno v: 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::753be85a48025897ae7146a31547e594
https://doi.org/10.1109/ipas55744.2022.10052952

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