GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images

GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images

Convolutional Neural Networks (CNNs) have received substantial attention as a highly effective tool for analyzing medical images, notably in interpreting endoscopic images, due to their capacity to provide results equivalent to or exceeding those of medical specialists. This capability is particular...

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Bibliographic Details
Main Authors: Sonam Aggarwal, Isha Gupta, Ashok Kumar, Sandeep Kautish, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Frank Werner, Mohammad Shokouhifar
Format: Article
Language:English
Published: AIMS Press 2024-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
deep learning
convolutional neural network
medical image analysis
computer-aided diagnosis
artificial intelligence
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024300
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