IEEE

Sports Image Classification Using Deep Learning Models

Abstract: This research explores a deep learning-based approach to sports image classification using four convolutional neural network (CNN) models: VGG-16, VGG-19, Xception, and EfficientNetB7. The ...
SciELO

Computer-Aided Polyps Classification from Colonoscopy Using Stacking-Based Deep Learning Model

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone ...
GitHub

[20260306] Remote Sensing Image Classification Using Deep Ensemble Learning

TL;DR 提出CNN与ViT融合模型并通过四模型深度集成提升遥感图像分类精度。 摘要 遥感影像在许多应用中发挥着关键作用，需要精确的计算机分类技术。可靠的分类对于将原始影像转换为结构化和可用信息至关重要。虽然卷积神经网络（CNNs）主要用于图像分类 ...
IEEE

Efficient Document Image Classification Using Deep Learning Enhance with CNN Architectures

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Frontiers

YOLOv8-Seg: a deep learning approach for accurate classification of osteoporotic vertebral ...

This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...