Artificial intelligence framework for lung cancer nodule segmentation and classification using convolutional neural network—from imaging to diagnosis

Aim: Lung cancer is a leading cause of cancer-related deaths globally, where early and accurate diagnosis significantly improves survival rates. This study proposes an AI-based diagnostic framework integrating U-Net for lung nodule segmentation and a custom convolutional neural network (CNN) for bin...

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Bibliographic Details
Main Authors:	Ashwin Kumar Azhagarasan, Prashanthi Bhaskaran, Arunkumar Ramachandran, Kalpana Sivalingam
Format:	Article
Language:	English
Published:	Open Exploration Publishing Inc. 2025-07-01
Series:	Exploration of Medicine
Subjects:	ai in healthcare nodule segmentation diagnostic precision lung cancer classification convolutional neural network
Online Access:	https://www.explorationpub.com/uploads/Article/A1001341/1001341.pdf
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Artificial intelligence framework for lung cancer nodule segmentation and classification using convolutional neural network—from imaging to diagnosis

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