MetENet is a custom CNN inspired by VGG-style convolutional blocks. It uses progressively increasing filter counts and regularisation at each stage. Input: 32 × 32 × 3 Block 1 — Conv(3×3, 32) → BN → ...

This repository contains the MATLAB Live Script implementation of MetENet, a custom Convolutional Neural Network architecture designed for image classification. The main objective of this project is ...

Breast cancer, pneumonia, and colon cancer are all common diseases. These diseases seriously jeopardize the health of patients. Rapid and accurate diagnosis of diseases can lead to early prevention ...

Polarimetric synthetic aperture radar (PolSAR) image classification is a hot topic in remote sensing field. Although recently many deep learning methods such as convolutional based networks have ...