In the era of burgeoning image data, the demand for robust image classification algorithms has never been more pressing. This research article delves into the realm of image classification, ...

FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Analysis, November 22, 2021.

Recently, Convolutional Neural Networks (CNNs) have made significant progress in the field of remote sensing image scene classification. However, commonly used CNN models are mainly deployed on GPU, ...

Advanced classification algorithms based on artificial intelligence have made significant progress in image classification. Some of these include artificial neural networks (ANN), decision trees (DT), ...

• The labels represent the organ class corresponding to each image. Objectives of the project:- • To apply and evaluate traditional multiple multiclass classification algorithms without employing deep ...

A front-end interface for image classification and object detection algorithms built with PyQt5, theoretically capable of showcasing any model or task with minor modifications. The current system ...

The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...

The green tide was calculated by counting only pixels classified as Ulva and submerged Ulva in the UAV image to determine the area of the green tide in the research area. The green tide areas ...