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Papers tagged with "Convolutional Neural Networks"
SKIN CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
Melanoma Is Considered To Be The Least Common Skin Cancer But It Is The Deadliest One. It Spreads To Other Body Parts In No Time And Must Be Diagnosed As Early As Possible. This Project Aims To Reduce The Death Caused By Skin Cancer. Our Ob...
A SMART PHONE BASED SKIN DISEASE CLASSIFICATION USING MOBILENET CNN
The MobileNet Model Was Used By Applying Transfer Learning On The 7 Skin Diseases To Create A Skin Disease Classification System On Android Application. The Proponents Gathered A Total Of 3,406 Images And It Is Considered As Imbalanced Data...
FACE RECOGNITION USING DEEP NEURAL NETWORK WITH LIVENESSNET
Continuous Increase In The Amount Of Population Over The World Leads To The Increases The Number Of Complex Datasets Over A Period. This Necessitates Improving Artificial Intelligence Algorithms For Better And Accurate Categorization Of Dat...
IDENTIFICATION OF PNEUMONIA USING DEEP LEARNING
Pneumonia Is An Infection Caused By Bacteria, Fungi Or Virus That Primarily Affects The Lungs Causing The Pulmonary Alveolus To Be Filled With Fluid. This Pus Or Fluid Makes It Hard For Oxygen Taken In By The Lungs To Reach The Blood Stream...
DEEP CONVOLUTIONAL NEURAL NETWORKS-BASED AGE AND GENDER CLASSIFICATION WITH FACIAL IMAGES
We Build An Age And Gender Classification System To Classify Age And Gender With The Help Of Deep Learning Framework. Automatic Age And Gender Classification Has Become Relevant To An Increasing Amount Of Applications, Particularly Since Th...
A Novel Approach Determining Driving Assistance Using Deep Convolutional Neural Networks
Intelligent Vehicle Systems, Such As Advanced Driving Assistance Systems, Are Relatively Popular Nowadays, Which Facilitate The Timely Prevention Of Driving-related Accidents And Human Injuries Caused By Impaired Driving. This Paper Present...
ENHANCING THE QUALITY OF DEGRADED IMAGES USIN SUPER-RESOLUTION CONVOLUTIONAL NEURAL NETWORK ALGORITHM
The Goal Of This Paper, Is To Recuperate A High-resolution Image From A Low-resolution Input. To Make This Goal Possible, We Will Be Deploying The Super-resolution Convolutional Neural Network (SRCNN) Using Keras. As The Title Endorses, The...
DIABETIC RETINOPATHY USING DEEP LEARNING
Retinopathy Is Very Important In Detection Of Diabetic Vision Loss. This Paper Is For Methodology For Diabetic Retinopathy Detection From Eye Fundus Images Using A Generalization Of The Deep Learning Method. We Formulate The BoVW As Two Con...
CLASSIFICATION OF DIABETIC RETINOPATHY USING DEEP LEARNING
The Diagnosis Of Diabetic Retinopathy (DR) Through Colour Fundus Images Requires Experienced Clinicians To Identify The Presence And Significance Of Many Small Features Which, Along With A Complex Grading System, Makes This A Difficult And Tim...
VERY DEEP CONVOLUTIONAL NETWORKS AND RANDOM FOREST USED IN IMAGE PROCESSING TECHNIQUES
Here, We Inspect The Outcome Of The Convolutional Network Depth On Its Correctness In The Large-scale Image Recognition Tasks. The Chief Role Is Thorough Valuation Of Networks Of Increasing Deepness By Means Of An Architecture With Small (...
SHADOW DETECTION USING CONVOLUTIONAL NEURAL NETWORK
We Present A Practical Framework To Automatically Detect Shadows In Real-world Scenes From A Single Photograph Previous Works On Shadow Detection Requires Human Intervention To Detect Shadow.But Our Framework Automatically Learns The Most R...
ANALYSIS AND DIFFERENTIATION OF MUSIC FOR PREDOMINANT INSTRUMENT RECOGNITION USING NEURAL NETWORK
Music Retrieval Becomes Dominant In Jukeboxes And Sound Systems. As The Interest Of Listeners Is Varying Fine To Time And Based On Other Factors Like Environment, Psychology, Etc. Identifying The Type Of Music Category Helps The Sound Provi...
an approach to brain tumor segmentation using convolutional neural networks
Nowadays Brain Tumors Have Become Very Serious Issue. Considering Different Types Of Brain Tumors, The Most Common And Aggressive Tumors Are Gliomas. These Gliomas Lead To A Very Short Life Span Of Patients If The Tumor Is Of High Grade And...