IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
Frontiers

Molecular-informed image classification for predicting drug sensitivity in cancer therapy

Introduction: Understanding and predicting drug sensitivity in cancer therapy demands innovative approaches that integrate multi-modal data to enhance treatment efficacy. In alignment with the ...
GitHub

tensorflow-keras-cnn-image-classification

Add a description, image, and links to the tensorflow-keras-cnn-image-classification topic page so that developers can more easily learn about it.
IEEE

MUSCLE: A New Perspective to Multi-scale Fusion for Medical Image Classification based on the Theory of Evidence

Abstract: In the field of medical image analysis, medical image classification is one of the most fundamental and critical tasks. Current researches often rely on the off-the-shelf backbone networks ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...