GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

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 ...
IEEE

Image based Bird Species Identification using CNN

Abstract: Recent advancements in computer vision and deep learning have significantly enhanced the potential for image-based bird species identification, garnering considerable interest in ornithology ...
Law

11th Circuit Revives Project Veritas' Defamation Lawsuit Against CNN

"Veritas committed one infraction—it violated a policy regarding the publishing of private information, but CNN falsely accused it of violating a completely different policy—spreading misinformation," ...
IEEE

Multi-temporal PolSAR Image Classification Using F-SAE-CNN

Abstract: Crop classification using polarimetric SAR data is one of the most important applications in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. Obviously, for crop classification, multi ...
Frontiers

Fundus image classification using Inception V3 and ResNet-50 for the early diagnostics of ...

Purpose: We aim to present effective and computer aided diagnostics in the field of ophthalmology and improve eye health. This study aims to create an automated deep learning based system for ...
Scientific Research Publishing

Detection and Classification of Lung Cancer Cells Using Swin Transformer ()

1 Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China. 2 Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.
Frontiers

Interpretation of Convolutional Neural Networks for Acid Sulfate Soil Classification

Convolutional neural networks (CNNs) have been originally used for computer vision tasks, such as image classification. While several digital soil mapping studies have been assessing these deep ...