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IEEE 2021-2022 MATLAB Project Titles
Project Code |
Title |
year |
|---|---|---|
| LT001 | SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation | 2021-2022 |
| LT002 | Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning | 2021-2022 |
| LT003 | Semi-Reference Sonar Image Quality Assessment Based on Task and Visual Perception | 2021-2022 |
| LT004 | Neural Image Compression for Gigapixel Histopathology Image Analysis | 2021-2022 |
| LT005 | CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking | 2021-2022 |
| LT006 | A Novel Fast Single Image Dehazing Algorithm Based on Artificial Multiexposure Image Fusion | 2021-2022 |
| LT007 | Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution | 2021-2022 |
| LT008 | Contrast Enhancement of Multiple Tissues in MR Brain Images With Reversibility | 2021-2022 |
| LT009 | A Supervised Segmentation Network for Hyperspectral Image Classification | 2021-2022 |
| LT010 | A Content-based Image Retrieval Scheme Using Compressible Encrypted Images | 2021-2022 |
| LT011 | A New Image Encryption Algorithm for Grey and Color Medical Images | 2021-2022 |
| LT012 | Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI–3D US Image Fusion | 2021-2022 |
| LT013 | Compressive Spectral Imaging Via Virtual Side Information | 2021-2022 |
| LT014 | SAR image de-noising via grouping-based PCA and guided filter | 2021-2022 |
| LT015 | Distributed Learning and Inference With Compressed Images | 2021-2022 |
| LT016 | An Image Reconstruction Method of Capacitively Coupled Electrical Impedance Tomography (CCEIT) Based on DBSCAN and Image Fusion | 2021-2022 |
| LT017 | Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network | 2021-2022 |
| LT018 | Rings for Privacy: An Architecture for Large Scale Privacy-Preserving Data Mining | 2021-2022 |
| LT019 | Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network | 2021-2022 |
| LT020 | Hierarchical Image Segmentation Based on Nonsymmetry and Anti-Packing Pattern Representation Model | 2021-2022 |
| LT021 | A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging | 2021-2022 |
| LT022 | Hierarchical Image Segmentation Based on Nonsymmetry and Anti-Packing Pattern Representation Model | 2021-2022 |
| LT023 | Boosting Single Image Super-Resolution Learnt From Implicit Multi-Image Prior | 2021-2022 |
| LT024 | Optimizing an Image Coding Framework with Deep Learning-based Pre- and Post-Processing | 2021-2022 |
| LT025 | Distributed Learning and Inference With Compressed Images | 2021-2022 |
| LT026 | Determination of Soil Moisture Content using Image Processing -A Survey | 2021-2022 |
| LT027 | High-Resolution Remote Sensing Image Captioning Based on Structured Attention | 2021-2022 |
| LT028 | A Framework for Hexagonal Image Processing Using Hexagonal Pixel-Perfect Approximations in Subpixel Resolution | 2021-2022 |
| LT029 | Correcting Higher Order Aberrations Using Image Processing | 2021-2022 |
| LT030 | DenseNet model with RAdam optimization algorithm for cancer image classification | 2021-2022 |
| LT031 | Technical analysis of intelligent image processing of tea | 2021-2022 |
| LT032 | Adversarial Attack Against Deep Saliency Models Powered by Non-Redundant Priors | 2021-2022 |
| LT033 | Unsupervised Domain Adaptation Network With Category-Centric Prototype Aligner for Biomedical Image Segmentation | 2021-2022 |
| LT034 | Transfer Learning for Automatic Brain Tumor Classification Using MRI Images | 2021-2022 |
| LT035 | Cubemap-Based Perception-Driven Blind Quality Assessment for 360-degree Images | 2021-2022 |
RENEWABLE ENERGY SYSTEMS-PV SYSTEMS
2021-2022
Project Code |
Title |
year |
|---|---|---|
| LT001 | Spine ParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation | 2021-2022 |
| LT002 | Graph Regularized Hierarchical Diffusion Process with Relevance Feedback for Medical Image Retrieval | 2021-2022 |
| LT003 | Lamb Waves and Adaptive Beam forming for Aberration Correction in Medical Ultrasound Imaging | 2021-2022 |
| LT004 | Reconstruction of Optical Coherence Tomography Images Using Mixed Low Rank Approximation and Second Order Tensor Based Total Variation Method | 2021-2022 |
| LT005 | CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation | 2021-2022 |
| LT006 | A New Image Encryption Algorithm for Grey and Color Medical Images | 2021-2022 |
| LT007 | Micro-Networks for Robust MR-Guided Low Count PET Imaging | 2021-2022 |
| LT008 | Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI–3D US Image Fusion | 2021-2022 |
| LT009 | A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions | 2021-2022 |
| LT010 | DPIR-Net: Direct PET Image Reconstruction Based on the Wasserstein Generative Adversarial Network | 2021-2022 |
| LT011 | A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images | 2021-2022 |
| LT012 | Neural Image Compression for Giga pixel Histopathology Image Analysis | 2021-2022 |
| LT013 | Reconstructing Under sampled Photo acoustic Microscopy Images Using Deep Learning | 2021-2022 |
| LT014 | Gradient Compass-Based Adaptive Multimodal Medical Image Fusion | 2021-2022 |
| LT015 | Distributed Learning and Inference With Compressed Images | 2021-2022 |
| LT016 | Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation | 2021-2022 |
| LT017 | Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network | 2021-2022 |
| LT018 | Principal Component Analysis in Projection and Image Domains—Another Form of Spectral Imaging in Photon-Counting CT | 2021-2022 |
| LT019 | Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network | 2021-2022 |
| LT020 | Modeling and Enhancing Low-Quality Retinal Fundus Images | 2021-2022 |
| LT021 | A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging | 2021-2022 |
| LT022 | ||
| LT023 | Boosting Single Image Super-Resolution Learnt From Implicit Multi-Image Prior | 2021-2022 |
| LT024 | An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition | 2021-2022 |
| LT025 | Distributed Learning and Inference With Compressed Images | 2021-2022 |
BREAST CANCER
Project Code |
Title |
year |
|---|---|---|
| LT001 | Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer | 2021-2022 |
| LT002 | Graph Regularized Hierarchical Diffusion Process with Relevance Feedback for Medical Image Retrieval | 2021-2022 |
| LT003 | Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks | 2021-2022 |
| LT004 | Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling | 2021-2022 |
| LT006 | Enhancement of Penetration of Millimeter Waves by Field Focusing Applied to Breast Cancer Detection | 2021-2022 |
| LT007 | Enhancement of Penetration of Millimeter Waves by Field Focusing Applied to Breast Cancer Detection | 2021-2022 |
| LT008 | Enhancement of Penetration of Millimeter Waves by Field Focusing Applied to Breast Cancer Detection | 2021-2022 |
| LT010 | ResNet-SCDA-50 for Breast Abnormality Classification | 2021-2022 |
| LT011 | A 9.6-mW/Ch 10-MHz Wide-Bandwidth Electrical Impedance Tomography IC With Accurate Phase Compensation for Early Breast Cancer Detection | 2021-2022 |
| LT012 | Neural Image Compression for Giga pixel Histopathology Image Analysis | 2021-2022 |
| LT013 | Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall | 2021-2022 |
| LT014 | Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks | 2021-2022 |
| LT015 | Distributed Learning and Inference With Compressed Images | 2021-2022 |
| LT016 | D-TSVR Recurrence Prediction Driven by Medical Big Data in Cancer | 2021-2022 |
| LT017 | Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network | 2021-2022 |
| LT018 | Local Carpet Bombardment of Immobilized Cancer Cells With Hydrodynamic Cavitation | 2021-2022 |
| LT019 | Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network | 2021-2022 |
| LT020 | Intraoperative Label-Free Multimodal Nonlinear Optical Imaging for Point-of-Procedure Cancer Diagnostics | 2021-2022 |
| LT021 | A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging | 2021-2022 |
| LT022 | Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN | 2021-2022 |
| LT023 | A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic | 2021-2022 |
| LT024 | An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition | 2021-2022 |
| LT025 | A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data | 2021-2022 |
| LT026 | Text Analytics and Mixed Feature Extraction in Ovarian Cancer Clinical and Genetic Data | 2021-2022 |
| LT027 | Multi-Class Diagnosis of Skin Lesions Using the Fourier Spectral Information of Images on Additive Color Model by Artificial Neural Network | 2021-2022 |
| LT028 | Skin Lesion Classification by Multi-View Filtered Transfer Learning | 2021-2022 |
| LT029 | A Novel Approach of Diabetic Retinopathy Early Detection Based on Multifractal Geometry Analysis for OCTA Macular Images Using Support Vector Machine | 2021-2022 |
| LT030 | A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability | 2021-2022 |
| LT031 | Diabetic Retinopathy Detection and Classification Using Mixed Models for a Disease Grading Database | 2021-2022 |
| LT032 | Diabetic Retinopathy Detection and Classification Using Mixed Models for a Disease Grading Database | 2021-2022 |
| LT033 | CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading | 2021-2022 |
| LT034 | Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions | 2021-2022 |
| LT035 | Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods | 2021-2022 |
| LT035 | Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture | 2021-2022 |
| LT035 | Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision | 2021-2022 |
| LT035 | Multi-Scale Attention Network for Diabetic Retinopathy Classification | 2021-2022 |
| LT035 | A Review on Glaucoma Disease Detection Using Computerized Techniques | 2021-2022 |
| LT035 | Hybrid Graph Convolutional Network for Semi-Supervised Retinal Image Classification. | 2021-2022 |
BRAIN CANCER/TUMOR
Project Code |
Title |
year |
|---|---|---|
| LT001 | A Novel Approach of Diabetic Retinopathy Early Detection Based on Multifractal Geometry Analysis for OCTA Macular Images Using Support Vector Machine | 2021-2022 |
| LT002 | A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability | 2021-2022 |
| LT003 | CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading | 2021-2022 |
| LT004 | Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions | 2021-2022 |
| LT006 | Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods | 2021-2022 |
| LT007 | Automatic Diabetic Retinopathy Diagnosis Using Adaptive Fine-Tuned Convolutional Neural Network | 2021-2022 |
| LT008 | Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture | 2021-2022 |
| LT010 | Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision | 2021-2022 |
| LT011 | Multi-Scale Attention Network for Diabetic Retinopathy Classification | 2021-2022 |
| LT012 | A Review on Glaucoma Disease Detection Using Computerized Techniques | 2021-2022 |
| LT013 | Hybrid Graph Convolutional Network for Semi-Supervised Retinal Image Classification. | 2021-2022 |
SPECIAL TOPICS
Project Code |
Title |
year |
|---|---|---|
| LT001 | A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges | 2021-2022 |
| LT002 | Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies | 2021-2022 |
| LT003 | Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions | 2021-2022 |
| LT004 | Application of a Multi-Chamber Fusion Algorithm Based on the Fick’s Theorem to Quantify Soil Respiration | 2021-2022 |
| LT005 | Tomato Leaf Disease Identification by Restructured Deep Residual Dense Network | 2021-2022 |
| LT006 | SPEDCCNN: Spatial Pyramid-Oriented Encoder-Decoder Cascade Convolution Neural Network for Crop Disease Leaf Segmentation | 2021-2022 |
| LT007 | Corona Discharge Influence on Winter Wheat and Winter Barley Seeds Infected by Fungal Disease | 2021-2022 |
| LT008 | Partial Least Squares Estimation of Crop Moisture and Density by Near-Infrared Spectroscopy | 2021-2022 |
| LT009 | A Dynamical Simplified Swarm Optimization Algorithm for the Multiobjective Annual Crop Planning Problem Conserving Groundwater for Sustainability | 2021-2022 |
| LT010 | Semantically Enriched Crop Type Classification and Linked Earth Observation Data to Support the Common Agricultural Policy Monitoring | 2021-2022 |
| LT011 | Identification of Tobacco Crop Based on Machine Learning for a Precision Agricultural Sprayer | 2021-2022 |
| LT012 | AgriSens: IoT-Based Dynamic Irrigation Scheduling System for Water Management of Irrigated Crops | 2021-2022 |
| LT013 | Monitoring of Wheat Powdery Mildew Disease Severity Using Multiangle Hyperspectral Remote Sensing | 2021-2022 |