Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images

Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images

<b>Background/Objectives:</b> Lung cancer is a leading cause of cancer-related mortalities, with early diagnosis crucial for survival. While biopsy is the gold standard, manual histopathological analysis is time-consuming. This research enhances lung cancer diagnosis through deep learnin...

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Bibliographic Details
Main Authors: Karthikeyan Shanmugam, Harikumar Rajaguru
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Diagnostics
Subjects:
SLIC segmentation
RN-X
PSO
RDO
MLP
cross-validation
Online Access:https://www.mdpi.com/2075-4418/15/7/805
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