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IEEE

CViTS-Net: A CNN-ViT Network With Skip Connections for Histopathology Image Classification

Abstract: Histopathological image classification stands as a cornerstone in the pathological diagnosis workflow, yet it remains challenging due to the inherent complexity of histopathological images.
IEEE

Multi-Label Auroral Image Classification Based on CNN and Transformer

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...
Frontiers

Advancements in image classification for environmental monitoring using AI

Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...
GitHub

Image Classification using Convolutional Neural Networks (CNN) : A Deep Learning Approach for Multi-Class Classification

This project demonstrates a deep learning approach for multi-class image classification using Convolutional Neural Networks (CNNs). The model classifies images into predefined categories such as ...
C&EN

Advanced Image Classification Using a Differential Diffractive Network with “Learned” Structured Illumination

Key Laboratory of Quantum Materials and Devices of Ministry of Education, School of Physics, Southeast University, Nanjing 211189, China ...
marktechpost

Revolutionizing Image Classification: Training Large Convolutional Neural Networks on the ImageNet Dataset

Training a Large CNN for Image Classification: Researchers developed a large CNN to classify 1.2 million high-resolution images from the ImageNet LSVRC-2010 contest, spanning 1,000 categories. The ...
GitHub

Multiclass Image Classification using CNN

This repository contains code for a custom-built Convolutional Neural Network (CNN) designed from scratch to predict multiclass images. The model achieves high accuracy in classifying images into ...