Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach

Abstract The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method en...

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Main Authors: Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Colorectal cancer
Integrated CNNs
Transformers
Support vector machines
K-Means clustering
Online Access:https://doi.org/10.1038/s41598-025-86590-y
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https://doi.org/10.1038/s41598-025-86590-y

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