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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Format: | Article |
Language: | English |
Published: |
Igor Sikorsky Kyiv Polytechnic Institute
2024-03-01
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Series: | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
Subjects: | |
Online Access: | https://asac.kpi.ua/article/view/302198 |
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