Hybrid Darknet53-SVM model with random grid search optimization for enhanced colorectal cancer histological image classification

Hybrid Darknet53-SVM model with random grid search optimization for enhanced colorectal cancer histological image classification

Abstract Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths worldwide, necessitating accurate and efficient diagnostic tools. This study proposes an advanced deep learning-based framework for classifying CRC histological images into eight categories: Adipose, Complex,...

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Bibliographic Details
Main Authors: Pragati Patharia, Prabira Kumar Sethy, K. Lakshmipathi Raju, Anita Khanna, Ashoka Kumar Ratha, Santi Kumari Behera, Aziz Nanthaamornphong
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
Colorectal cancer classification
Darknet53
SVM
Random grid search
Histological image analysis
Online Access:https://doi.org/10.1007/s44163-025-00404-8
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https://doi.org/10.1007/s44163-025-00404-8

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