Application of Transfer Learning for enhanced pulmonary disease detection via CT image embeddings

This study explores the use of transfer learning in enhancing pulmonary disease detection from computed tomography (CT) scans, focusing on the adaptation of a convolutional neural network (CNN) for generating CT slice embeddings. Dataset includes CT images of COVID-19 patients, healthy individuals,...

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Bibliographic Details
Main Author: Ф. Смілянець
Format: Article
Language:English
Published: Igor Sikorsky Kyiv Polytechnic Institute 2024-03-01
Series:Adaptivni Sistemi Avtomatičnogo Upravlinnâ
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Online Access:https://asac.kpi.ua/article/view/302198
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