Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model

Gastrointestinal cancer is a leading cause of cancer-related incidence and death, making it crucial to develop novel computer-aided diagnosis systems for early detection and enhanced treatment. Traditional approaches rely on the expertise of gastroenterologists to identify diseases; however, this pr...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Subedi, Aliza, Regmi, Smriti, Regmi, Nisha, Bhusal, Bhumi, Bagci, Ulas, Jha, Debesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Artificial neural networks Cancer Classification Correlation coefficients Datasets Endoscopy Image enhancement Medical imaging Recall Transformers Video data
Online-Zugang:	Volltext
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