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Papers tagged with "Medical Image"
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks
Brain Tumors Are Among The Most Life-threatening Neurological Disorders That Require Early And Accurate Diagnosis To Improve Patient Survival And Treatment Outcomes. Magnetic Resonance Imaging (MRI) Is Widely Used For Detecting Brain Abnorm...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks: A Review
Brain Tumor Detection Is One Of The Most Critical Applications Of Artificial Intelligence (AI) In Medical Image Analysis. Early And Accurate Identification Of Brain Tumors Plays A Vital Role In Improving Patient Survival Rates And Assisting...
Classification Of Oral Cancer From White Light Image Using A Machine Learning Algorithm For Enhanced Accuracy
This Research Aims To Develop A New Framework For The Early Identification Of Oral Cancer Through Multimodal Data Fusion With LSTM Networks And CNNs. The Performance Of The Proposed Framework Is Tested For Sensitivity, Specificity, And Accu...
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 GASTROINTESTINAL DISEASE DETECTION USING RESNET50: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR MEDICAL IMAGE CLASSIFICATION
Gastrointestinal (GI) Diseases Such As Polyps, Ulcers, And Tumors Require Early Detection For Effective Treatment. Traditional Manual Inspection Of Endoscopy Images Is Timeconsuming And Prone To Human Error. This Project Proposes An AIbased...
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...
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet Blended Hybrid Model
Diabetic Retinopathy (DR) Represents A Critical Complication Of Diabetes Mellitus, Leading To Progressive Vision Impairment And Potential Blindness If Left Undetected. This Research Presents A Novel Multi-decision Inception-ResNet Blended H...
Integrated GAN And IR Algorithms For Noise-Robust Medical Image Reconstruction
Medical Imaging Techniques Such As Magnetic Resonance Imaging And Computed Tomography Play A Vital Role In Disease Diagnosis And Treatment Planning. However, Medical Images Are Often Degraded By Noise Caused By Low Radiation Exposure, Patie...
A Survey on Intelligent Skin Disease Prediction Using Deep Learning And CNN–LLM Integration
Skin Diseases Are Among The Most Prevalent Medical Issues Globally, Making Timely And Accurate Diagnosis Essential For Successful Treatment.Expert Clinical Evaluation Is The Traditional Foundation Of Dermatological Diagnosis.However, This A...
Early-Stage Oral Cancer Identification Using White Light Imaging And LightGBM Algorithm
Oral Cancer Is A Significant Public Health Concern Globally, With Early Detection Playing A Crucial Role In Improving Patient Outcomes. In This Project, We Propose A Novel Approach For Oral Cancer Detection Leveraging Deep Learning Techniqu...
Leveraging gan for synthetic medical image synthesis
Generative Adversarial Networks (GANs) Generate Realistic Medical Images, Tackling The Scarcity Of Annotated Datasets In Healthcare. Models Like Conditional GANs And CycleGANs Preserve Essential Clinical Features, Improve Model Generaliza...
LUNG CANCER DETECTION AND SEMANTIC SEGMENTATION USING VGG U-NET ARCHITECTURE
Lung Cancer Is One Of The Most Fatal Cancers Worldwide, And Malignant Tumors Are Characterized By The Growth Of Abnormal Cells In The Tissues Of Lungs. Usually, Symptoms Of Lung Cancer Do Not Appear Until It Is Already At An Advanced Stage....
ENHANCING SECURITY MECHANISMS IN DICOM IMAGES USING AES ALGORITHM IN PYTHON
In Our Day To Day Life, Health And Its Issues Play A Vital Role. Nowadays Most Of The Health Care Institution Has To Improving The Patient Diagnosis Report In Secure Manner. The Increased Adoption Of Information System May Lead To Inefficie...
VISUAL CRYPTOGRAPHIC ENCRYPTION TECHNIQUE FOR SECURING MEDICAL IMAGES
Now A Day’s Medical Image Data Is Central Part Of Diagnostics Health Care Information System With Adoption Of Cloud Computing Approaches In Health Care Sector Medical Image Data Are Now Stored Remotely In Third Party Servers Privacy Safety...
A SURVEY ON IMAGE-GUIDED SURGICAL ROBOT
The Aim Of This Paper Is To Study Various Procedures And Algorithms Which Help In Image-Guided Surgery. There Are Many Procedures That Are Being Used To Perform Image-guided Surgeries These Days Out Of Which The Procedure Of Using A Robust...