EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset

EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset

Colorectal cancer is associated with a high mortality rate and significant patient risk. Images obtained during a colonoscopy are used to make a diagnosis, highlighting the importance of timely diagnosis and treatment. Using techniques of deep learning could enhance the diagnostic accuracy of existi...

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Bibliographic Details
Main Authors: Akella Subrahmanya Narasimha Raju, Kaliyamurthy Venkatesh
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Bioengineering
Subjects:
colorectal cancer
ensemble fusion CNNs
bidirectional long short-term memory (BiLSTM)
support vector machine (SVM)
CKHK-22 mixed dataset
feature fusion
Online Access:https://www.mdpi.com/2306-5354/10/6/738

Internet

https://www.mdpi.com/2306-5354/10/6/738

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