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Diagnostic Accuracy of Machine Learning AI Architectures in Detecting and Classifying Lung Cancer: A Systematic Review

Medicine and Health

Diagnostic Accuracy of Machine Learning AI Architectures in Detecting and Classifying Lung Cancer: A Systematic Review

A. Pacurari, S. Bhattarai, et al.

Discover how machine learning is transforming lung cancer diagnosis! This systematic review highlights the promising potential of various AI architectures in improving diagnostic accuracy for lung cancer, as investigated by A.C. Pacurari, S. Bhattarai, A. Muhammad, and other leading researchers.

00:00
00:00
~3 min • Beginner • English
Abstract
Publisher
Diagnostics
Published On
Jun 28, 2023
Authors
A.C. Pacurari, S. Bhattarai, A. Muhammad, C. Avram, A.O. Mederle, O. Rosca, F. Bratosin, I. Bogdan, R.M. Fericean, M. Biris, G. Tofan, F. Olteanu, A. Mavrea, C. Dima
Tags
lung cancer
machine learning
diagnostic accuracy
AI architectures
systematic review
imaging modalities
histological characteristics

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