The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
This project explores the application of Transformer-based architectures for image classification tasks. Unlike traditional Convolutional Neural Networks (CNNs) commonly used in image classification, ...
Abstract: Remote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation. The recent advancements of ...
jPacific Parkinson's Research Centre and Parkinson's Foundation Centre of Excellence, University of British Columbia, BC, Canada kUniversity Health Network's Krembil Brain Institute, Edmond J Safra ...
Abstract: Convolutional neural networks (CNNs) have been widely applied to hyperspectral image classification (HSIC). However, traditional convolutions can not effectively extract features for objects ...
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