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Deep Learning Approach for Early Stage Lung Cancer Detection

Medicine and Health

Deep Learning Approach for Early Stage Lung Cancer Detection

S. Abunajm, N. Elsayed, et al.

This groundbreaking research by Saleh Abunajm, Nelly Elsayed, Zag Elsayed, and Murat Ozer introduces a deep-learning model designed to revolutionize early lung cancer prediction and diagnosis through advanced Computed Tomography (CT) scans, aiming for unparalleled accuracy in assisting radiologists.

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Playback language: English
Abstract
This paper proposes a deep-learning model for early lung cancer prediction and diagnosis using Computed Tomography (CT) scans. The model achieves high accuracy and aims to assist radiologists in predicting and detecting lung cancer and its stage.
Publisher
Not specified in provided text
Published On
Jan 01, 2023
Authors
Saleh Abunajm, Nelly Elsayed, Zag Elsayed, Murat Ozer
Tags
deep-learning
lung cancer
early prediction
diagnosis
Computed Tomography
radiologists
accuracy
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