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Papers tagged with "Imaging"
An Interpretable Deep Learning Framework For MRI-Based Alzheimer’s Disease Detection And Automated Clinical Reporting
Alzheimer’s Disease (AD) Is A Progressive Neurodegenerative Disorder That Affects Memory, Cognitive Abilities, And Overall Brain Function, Particularly In The Aging Population. Early And Reliable Diagnosis Is Essential For Timely Interventi...
BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES
Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...
Enhanced ODIRNet: Attention-Driven And Explainable Deep Neural Network For Robust Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) Is A Significant Global Health Concern, Especially In Areas With High Rates Of Diabetes. Early Detection Via Automated Systems Can Reduce The Risk Of Blindness. This Paper Introduces ODIRNet, A Compact Deep Convolu...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
AI-BASED ATHEROSCLEROSIS DETECTION MODEL USING CARDIOVASCULAR IMAGING DATA
Atherosclerosis Is A Chronic Cardiovascular Condition Characterized By The Gradual Accumulation Of Plaque Within Arterial Walls, Resulting In Restricted Blood Flow And Increased Risk Of Heart Attacks And Strokes. Early Detection Is Essenti...
LUNG INFECTION SEGMENTATION AND CLASSIFICATION USING DEEP LEARNING
Lung Fibrosis Is A Chronic And Progressive Respiratory Disease Characterized By Scarring Of Lung Tissue, Leading To Reduced Lung Function And, In Severe Cases, Respiratory Failure. Early Detection Is Critical For Timely Intervention And Imp...
AI In HealthCare: Focus On Medical Imaging
In Healthcare Sector ,specially In The Field Of Medical Imaging ,Artifical Intelligence (AI) Is Bringing Significant Changes. Imaging Methods Like CT Scans, X-rays, And MRIs Produce Large Volumes Of Visual Information That Require Accurate...
Neural Network-Powered Brain Tumor Detection Using Machine Learning
Detecting Brain Tumors Early Is Vital For Giving Patients The Best Chance At Successful Treatment And Recovery. This Project Introduces A User-friendly Web Application Designed To Help With The Early Detection Of Brain Tumors Using MRI Scan...
Brain Tumer Detection Using Machine Learning
Brain Tumors Result From The Abnormal And Uncontrolled Growth Of Cells. If Left Untreated During The Early Stages, They Can Become Life-threatening. Although Numerous Significant Advancements Have Been Achieved In This Field, Ensuring Accur...
Dental Disease Detection Based On Deep Learning Algorithm Using Various Radiographs
Dental Diseases Such As Dental Caries, Periodontal Disease, Periapical Lesions, And Bone Loss Are Among The Most Prevalent Oral Health Issues Globally. Early And Accurate Detection Is Critical To Preventing Progression And Ensuring Effectiv...
Brain Tumor Disease Detection Using Federated Learning With FedAvg
Federated Learning (FL) Has Emerged As A Critical Paradigm For Collaborative Model Training In Privacy-constrained Domains, Particularly In Healthcare. This Study Presents A Comprehensive FedAvg-based Framework For Brain Tumor Detection Fro...
EARLY DETECTION OF BRAIN STROKE FOR MEDICAL IMAGING THROUGH CNN AND IMAGE ANALYSIS
The Early Detection Of Brain Strokes Is Critical For Improving Patient Outcomes And Minimizing Long-term Disabilities. Timely Diagnosis Can Significantly Reduce The Risk Of Brain Damage By Enabling Swift Medical Intervention. This Research...
Advanced Detection Of Breast Cancer Through Machine Learning : A Comprehensive Investigation
Breast Cancer Is One Of The Most Widespread And Deadly Types Of Cancer. Early And Accurate Diagnosis Of Breast Cancer Improves The Chances Of Survival And Also The Treatment. Breast Cancer Is Detectable Very Early With ML Techniques That Ar...
Brain Tumor Detection And Classification With An Android App
Brain Tumor Detection Is A Critical Task In Medical Diagnostics, Requiring Accurate And Efficient Models To Classify Tumor Presence In MRI Scans. This Project Employs A Convolutional Neural Network (CNN) To Identify Tumors In Medical Images...
BRAIN TUMOUR DETECTION AND CLASSIFICATION USING CONVOLUTION NEURAL NETWORK
In This Modern Day’s Presence Of Cancer Is The Major Problem In Medical Field. Especially Brain Tumour Because Growth Of Brain Tumour Can’t Be Identified Until It Reaches Its Severe Stages. It Causes Major Damages And Tends To Death. So Her...