Image Processing Final Year Projects

Final Year Projects offers the latest Image Processing Final Year Projects for BE, B.Tech, M.Tech, and MCA students. Get complete project solutions with source code, documentation, research support, and expert guidance. Learn and complete your project easily while gaining practical experience. Choose from our handpicked list of IEEE project titles to start your project today.

S.NoIEEE PROJECT TITLES  
FY5IP1A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
FY5IP2A Comprehensive Joint Learning System to Detect Skin Cancer
FY5IP3A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images
FY5IP4A Nested Attention Guided UNet Architecture for White Matter Hyperintensity Segmentation
FY5IP5A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework
FY5IP6Abnormality Detection in Chest X-Ray via Residual-Saliency From Normal Generation
FY5IP7AMSeg: A Novel Adversarial Architecture Based Multi-Scale Fusion Framework for Thyroid Nodule Segmentation
FY5IP8An Automated Chest X-Ray Image Analysis for Covid-19 and Pneumonia Diagnosis using Deep Ensemble Strategy
FY5IP9An Improved Densenet Deep Neural Network Model for Tuberculosis Detection Using Chest X-Ray Images
FY5IP10Automated Segmentation of Brain Tumor MRI Images Using Deep Learning
FY5IP11Automatic Liver Cancer Detection Using Deep Convolution Neural Network
FY5IP12BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Breast Cancer Diagnosis in Ultrasound Images
FY5IP13DeepSkin: A Deep Learning Approach for Skin Cancer Classification
FY5IP14EfficientNetB3?AADL for Multi-Class Plant Disease Classification
FY5IP15EMED-UNet: Multi-Encoder-Decoder Based UNet for Medical Image Segmentation
FY5IP16Exudate Regeneration for Automated Exudate Detection in Retinal Fundus Images
FY5IP17GARL-Net: Graph-Based Adaptive Regularized Learning Network for Breast Cancer Classification
FY5IP18Internet of Things and Deep Learning Enabled Diabetic Retinopathy Diagnosis
FY5IP19Loop Residual Attention Network for Automatic Segmentation of COVID-19 Chest X-Ray Images
FY5IP20MACGAN: Image Restoration Under Adverse Conditions Using Multi-Domain Conditional GAN
FY5IP21MLFAN: Multilevel Feature Attention Network for Image Denoising
FY5IP22Modeling of Reptile Search Algorithm With Deep Learning for Copy-Move Image Forgery Detection
FY5IP23Multi-FusNet: Cross Channel Network for Image Super-Resolution
FY5IP24SENext: Squeeze-and-ExcitationNext for Single Image Super-Resolution
FY5IP25Underwater Image Enhancement Based on Adaptive Color Correction and Improved Retinex Algorithm

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