Deep Learning Framework for Colorectal Cancer Classification Using ResNet18 Based on Dietary Habits Related to Meat Intake and Cooking Methods

Abstract Colorectal cancer (CRC) is a serious health problem globally, needing early identification for optimal treatment. Ingestion of mutagens such as heterocyclic amines (HCA), which are produced when meat is cooked at high temperatures, is believed to increase the risk of colorectal cancer. The...

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Bibliografische Detailangaben

Hauptverfasser:	S. Thanga Prasath, C. Navaneethan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Deep learning ResNet-18 colorectal cancer meat cooking methods heterocyclic amines
Online-Zugang:	https://ieeexplore.ieee.org/document/10600685/
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