Multiclass Osteoporosis Detection Using Woodpecker-Optimized CNN-XGBoost & predicting Diagnostic Accuracy via A Machine Learning Approach - Egyptian Knowledge Bank - troweb

386050

Multiclass Osteoporosis Detection Using Woodpecker-Optimized CNN-XGBoost & predicting Diagnostic Accuracy via A Machine Learning Approach

Article

Last updated: 05 Jan 2025

Overview Similar Items

Article

AI-Driven Intelligent Medical System: Deep Learning for Chest X-Ray/CT Disease Recognition

Article

LONG BONES X-RAY FRACTURE CLASSIFICATION USING MACHINE LEARNING

Article

Using X-ray Image Processing Techniques to Improve Pneumonia Diagnosis based on Machine Learning Algorithms

Article

Bone X-Rays Classification and Abnormality Detection using Xception Network

Article

A CLASSIFIER MODEL FOR X-RAY IMAGE BASED ON DEEP LEARNING TECHNIQUE

Article

A Deep Learning-Based Approach for Cervical Spine Fractures Classification

Article

Automatic Detection and Classification of Grape Leaf Diseases based on Deep Learning and Enhanced Chameleon Swarm Algorithm

Article

Lung Cancer Detection Using Hybrid Convolution neural Network and Recurrent neural Network

Article

Enhancing Glaucoma Detection Using Convolutional Neural Networks: A Comparative Study of Multi-Class and Binary Classification Approaches

Article

Breast Cancer Classification Using Ml Algorithms