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