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Papers tagged with "Image Analysis"
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
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...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
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...
Detect and Prevent check Scams in Online banking services
In The Realtime Of Online Banking, The Detection And Prevention Of Check Scams Have Become Paramount To Safeguarding Customers' Assets And Ensuring The Integrity Of Financial Transactions. This Paper Outlines A Multifaceted Approach To Comb...
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....
LUNG CANCER DETECTION BY USING DEEP LEARNING
Cancer Is A Grave And Widespread Affliction That Claims Numerous Lives Each Year. Among The Plethora Of Cancer Variants, Lung Cancer Stands As The Most Prevailing, Boasting An Alarming Mortality Rate. Employed For The Discernment Of Lung Ca...
IMAGE TO TEXT CONVERSION SYNTHESIS USING DEEP LEARNING
The Image-to-text Conversion Using Transformers And OpenAI's CLIP (Contrastive Language-Image Pre-training) Project Involves Leveraging Advanced Neural Network Architectures To Bridge The Gap Between Visual And Textual Information. Transfor...
COVID-I NET: TOWARDS COMPUTER-AIDED ASSESSMENT OF COVID-19 EFFECT ON LUNG INFECTION SEVERITY VIA DEEP NEURAL NETWORKS FOR CHEST X-RAYS AND CT SCAN IMAGES
COVID-19 Pandemic Is Affecting Numerous Lives All Around The World. Effective Care And Treatment Planning For COVID-19 Infected Patients Are Mandatory. This Infectious Virus Caused By Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-C...
RETINAL VESSEL DETECTION BASED ON DEEP LEARNING
While Recent Advances In Deep Learning Have Significantly Advanced The State Of The Art For Vessel Detection In Color Fundus (CF) Images, The Success For Detecting Vessels In Fluorescein Angiography (FA) Has Been Stymied Due To The Lack Of...
A STUDY ON A SHRINKAGE CONTROL OF CONCRETE USING SYNTHETIC FIBERS
Loss Of Water By Evaporation From The Surface Of The Concrete Or By The Absorption By Aggregates Is Believed To Be The Reason Of Shrinkage, Which Reduces Durability And Life Of A Concrete. One Of The Methods For Reducing Shrinkage Is Additi...
HUMANS EMOTIONS EXTRACTION FROM IMAGE ANALYSIS
To Concludes The Knowledge Of The Visible Structure Of The Photo Of Premeditation Dust. Now, There Are Images Of A Massive Change In Wild Associations For Facebook, Google Plus And Animals. These Images Are Crucial For The Customers Concern...
IMAGE CONTENT FROM SCANNED DOCUMENTS
As Large Quantity Of Document Images Is Getting Archived By The Digital Libraries, There Is A Need For An Efficient Search Strategies To Make Them Available As Per Users Information Need. For Their Retrieval, It Is Important To Recognize The...
THE EARLY DIAGNOSIS OF ALZHEIMER DISEASE (AD) USING CAMD, TREAD AND NAAC DATABASES
Alzheimer Disease (AD) Is One Of The Common Forms Of Dementia Which Is An Irreversible Neurodegenerative Progressive Disorder Of The Brain Which Affects The Elderly Population Above The Age Of 65. Alzheimer Is A Brain Disease That Causes Pr...