IEEE

An Efficient Ensemble Deep Learning Comparative Study Based on Multi-Class Classifications of Brain Tumors Using Brain MRI Images

Abstract: Brain tumors are a severe health problem that requires accurate diagnosis and classification for optimal treatment. Magnetic resonance imaging (MRI) is a widely used technique for detecting ...
IEEE

Brainai-Net: An Automated Deep Learning Approach For Tumor Detection

Abstract: This study explores the development of a deep learning-based model for the automated detection of brain tumors, aiming to improve diagnostic accuracy and efficiency compared to existing ...
IEEE

Transfer Learning Based Multiclass Brain Tumor Classification Using Mri Data

Abstract: Deep learning for classifying brain tumors has transformed medical image analysis, significantly improving upon manual detection techniques. Brain tumors are defined by aberrant cellular ...
IEEE

Advancements in Plant Disease Detection: A Comparative Study of Deep Learning-Based Classification Models

Abstract: Agriculture is essential to global food security, especially in nations like Bangladesh where it significantly affects people's economies and incomes. However, bacterial, viral, and fungal ...
IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
IEEE

A Skin Lesion Classification Approach Using Transfer Learning to Detect Monkeypox

Abstract: Human monkeypox cases have been increasing in recent outbreaks, raising global concern. Historically, the virus was confined to certain regions of Africa. However, in recent times, cases ...
IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...
IEEE

Deep Learning-Driven Brain Tumor Sectionalisation: Leveraging YOLO11 for MRI Analysis

Abstract: The radiologist has been using magnetic resonance imaging (MRI) because of its exceptional capacity to detect even the smallest abnormalities in the brain. This study contemplates an ...