Augmented histopathology: Enhancing colon cancer detection through deep learning and ensemble techniques

Colon cancer poses a significant threat to human life with a high global mortality rate. Early and accurate detection is crucial for improving treatment quality and the survival rate. This paper presents a comprehensive approach to enhance colon cancer detection and classification. The histopatholog...

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Veröffentlicht in:	Microscopy research and technique 2025-01, Vol.88 (1), p.298-314
Hauptverfasser:	Gowthamy, J, Ramesh, S. S. Subashka
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks attention mechanisms Classification clinical significance Colon cancer Colonic Neoplasms - diagnosis Colonic Neoplasms - pathology Colorectal cancer computational pathology cross transformers Data augmentation Datasets Deep Learning deep learning models ensemble learning feature extraction histopathological images Histopathology Humans Image Processing, Computer-Assisted - methods Image quality Machine learning Medical imaging multi‐class classification Neural networks Neural Networks, Computer Optimization Particle swarm optimization Performance evaluation siamese networks
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