Matlab IEEE 2018 Project Titles
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This document contains titles and short descriptions of 40 IEEE papers related to image segmentation, enhancement, classification, and signal classification. The papers cover topics such as segmentation of MRI images, adaptive screen content enhancement, multiscale image segmentation using normalized cuts, breast lesion segmentation in DCE-MRI, ramp distribution based infrared image enhancement, hyperspectral image classification using deep learning, lymph node segmentation and classification in cervical cancer MRI, ECG signal classification using machine learning, radar signal classification based on autocorrelation, and classification of chaotic signals.
![MAT18NXT33 Online automatic classification of subcarrier modulation signals
MAT18NXT34
Radar signal classification based on auto
model
MAT18NXT35 Classification of ECG signal by using machine
MAT18NXT36
Study of improved multiple signal classification algorithm based on coherent signal
sources
MAT18NXT37 A modified domain deformation theory on 1
MAT18NXT38
Modified local discriminant bases and its
[biomedical signal examples]
MAT18NXT39 EEG signal classification using nonlinear independent component analysis
MAT18NXT40 Efficient Classification of Chaotic Signals with Application to Secure Communications
Online automatic classification of subcarrier modulation signals
Radar signal classification based on auto-correlation function and directed graphical
Classification of ECG signal by using machine learning methods
Study of improved multiple signal classification algorithm based on coherent signal
A modified domain deformation theory on 1-D signal classification
Modified local discriminant bases and its applications in signal classification
[biomedical signal examples]
EEG signal classification using nonlinear independent component analysis
Efficient Classification of Chaotic Signals with Application to Secure Communications
correlation function and directed graphical
Study of improved multiple signal classification algorithm based on coherent signal
applications in signal classification
EEG signal classification using nonlinear independent component analysis
Efficient Classification of Chaotic Signals with Application to Secure Communications](https://image.slidesharecdn.com/matlab-180822100429/85/Matlab-IEEE-2018-Project-Titles-3-320.jpg)
Matlab IEEE 2018 Project Titles
- 1. Project Code MATLAB IEEE PAPER MAT18NXT01 Segmentation of MRI Images for MAT18NXT02 Automatic Renal Segmentation In Dce MAT18NXT03 Adaptive Screen Content Image Enhancement Segmentation MAT18NXT04 A Novel Mra Framework Based On Integrated Global And Local Analysis For Accurate Segmentation Of The Cerebral Vascular System MAT18NXT05 Multiscale image segmentation using normalized cuts in image recognition on satellite images MAT18NXT06 Large Scale Remote Sensing Image Competition and Gaussian MAT18NXT07 Breast Lesion Segmentation Software For Dce Optimization MAT18NXT08 Fast Automatic Segmentation of Cells and Nucleuses Monolayer Smear Images MAT18NXT09 Model-dependent MAT18NXT10 Deep contextual residual network for electron microscopy image segmentation in connectomics MAT18NXT11 Ramp Distribution MAT18NXT12 A Robust No-Reference, No Evaluating the Quality of Color Images MAT18NXT13 Improving the mammogram images by intelligibility mammogram enhancement method MAT18NXT14 An Optimal Low Dynamic Range Image Generation Method Using a Neural Network MAT18NXT15 Naturalness Preserved Statistics IEEE PAPERS – 2018 PROJECT TITLES WITH ABSTRACT IMAGE SEGMENTATION Segmentation of MRI Images for Brain Cancer Detection Segmentation In Dce-Mri Using Convolutional Neural Networks Adaptive Screen Content Image Enhancement Strategy using Layer-based A Novel Mra Framework Based On Integrated Global And Local Analysis For Accurate Segmentation Of The Cerebral Vascular System Multiscale image segmentation using normalized cuts in image recognition on Large Scale Remote Sensing Image Segmentation Based on Fuzzy Region Competition and Gaussian Mixture Model Breast Lesion Segmentation Software For Dce-Mri: An Open Source Gpgpu Based Fast Automatic Segmentation of Cells and Nucleuses in Large-Scale Liquid Monolayer Smear Images dependent uncertainty estimation of medical image segmentation Deep contextual residual network for electron microscopy image segmentation in IMAGE ENHANCEMENT Ramp Distribution-Based Image Enhancement Techniques for Infrared Reference, No-Parameter, Transform Domain Image Quality Metric for Evaluating the Quality of Color Images Improving the mammogram images by intelligibility mammogram enhancement Dynamic Range Image Generation Method Using a Neural Network Naturalness Preserved Image Enhancement Using a Priori Multi-Layer Lightness Mri Using Convolutional Neural Networks based A Novel Mra Framework Based On Integrated Global And Local Analysis For Accurate Multiscale image segmentation using normalized cuts in image recognition on Segmentation Based on Fuzzy Region Mri: An Open Source Gpgpu Based Scale Liquid-Based uncertainty estimation of medical image segmentation Deep contextual residual network for electron microscopy image segmentation in Based Image Enhancement Techniques for Infrared Images Parameter, Transform Domain Image Quality Metric for Improving the mammogram images by intelligibility mammogram enhancement Dynamic Range Image Generation Method Using a Neural Network Layer Lightness
- 2. MAT18NXT16 Bright region preserving back equalization MAT18NXT17 Adversarial approach to diagnostic quality volumetric image enhancement MAT18NXT18 Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation MAT18NXT19 The performance evaluation in the image enhancement MAT18NXT20 Dual Autoencoder Network for Retinex MAT18NXT21 Universal multi-modal deep network for classification and images MAT18NXT22 Fusion of hyperspectral image and LiDAR data and classification using deep convolutional neural networks MAT18NXT23 Superpixel based spectral classification of hyperspectral images in different color spaces MAT18NXT24 Semi-automatic lymph node segmentation and classification using cervical cancer MR imaging MAT18NXT25 Image classification using deep learning algorithm for thyroid imaging MAT18NXT26 Stability and reduction of statistical features for image Preliminary results MAT18NXT27 Image classification of fine convolutional neural network MAT18NXT28 Image classification based on improved random forest algorithm MAT18NXT29 Emphysema classification using a multi MAT18NXT30 A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap MAT18NXT31 Signal Analysis and Classification of Digital Communication Signals using Adaptive Smooth-Windowed Wigner MAT18NXT32 A Bayesian denoising mehod for complex radar signal with application to classification of human individuals Bright region preserving back-light image enhancement using clipped histogram Adversarial approach to diagnostic quality volumetric image enhancement Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation The performance evaluation of the Cat and Particle Swarm Optimization Techniques in the image enhancement Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement IMAGE CLASSIFICATION modal deep network for classification and segmentation of medical Fusion of hyperspectral image and LiDAR data and classification using deep convolutional neural networks Superpixel based spectral classification of hyperspectral images in different color automatic lymph node segmentation and classification using cervical cancer Image classification using deep learning algorithm for thyroid imaging Stability and reduction of statistical features for image classification and retrieval: Preliminary results Image classification of fine-grained fashion image based on style using pre convolutional neural network Image classification based on improved random forest algorithm Emphysema classification using a multi-view convolutional network A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap- SIGNAL CLASSIFICATION Signal Analysis and Classification of Digital Communication Signals using Adaptive Windowed Wigner-Ville Distribution A Bayesian denoising mehod for complex radar signal with application to human individuals light image enhancement using clipped histogram Adversarial approach to diagnostic quality volumetric image enhancement Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image of the Cat and Particle Swarm Optimization Techniques Light Image Enhancement segmentation of medical Fusion of hyperspectral image and LiDAR data and classification using deep Superpixel based spectral classification of hyperspectral images in different color automatic lymph node segmentation and classification using cervical cancer Image classification using deep learning algorithm for thyroid imaging classification and retrieval: grained fashion image based on style using pre-trained A Review of Applications of Image Analysis and Machine Learning Techniques in -smear Images Signal Analysis and Classification of Digital Communication Signals using Adaptive A Bayesian denoising mehod for complex radar signal with application to
- 3. MAT18NXT33 Online automatic classification of subcarrier modulation signals MAT18NXT34 Radar signal classification based on auto model MAT18NXT35 Classification of ECG signal by using machine MAT18NXT36 Study of improved multiple signal classification algorithm based on coherent signal sources MAT18NXT37 A modified domain deformation theory on 1 MAT18NXT38 Modified local discriminant bases and its [biomedical signal examples] MAT18NXT39 EEG signal classification using nonlinear independent component analysis MAT18NXT40 Efficient Classification of Chaotic Signals with Application to Secure Communications Online automatic classification of subcarrier modulation signals Radar signal classification based on auto-correlation function and directed graphical Classification of ECG signal by using machine learning methods Study of improved multiple signal classification algorithm based on coherent signal A modified domain deformation theory on 1-D signal classification Modified local discriminant bases and its applications in signal classification [biomedical signal examples] EEG signal classification using nonlinear independent component analysis Efficient Classification of Chaotic Signals with Application to Secure Communications correlation function and directed graphical Study of improved multiple signal classification algorithm based on coherent signal applications in signal classification EEG signal classification using nonlinear independent component analysis Efficient Classification of Chaotic Signals with Application to Secure Communications