Automatic brain tumor segmentation from MRI Images using superpixels based split and Merge algorithm

Raghda A. Ali

Details

Publication Date

Fri Jul 07 2017

Journal Name

International Journal Of Science And Research (ijsr)

Volume

Volume 6 Issue 7

Issue Number

7

Choose Citation Style

Statistics

View publication

4

Statistics

Automatic brain tumor segmentation from MRI Images using superpixels based split and Merge algorithm

MRI

Brain Tumor

Segmentation

Super pixel

Split and Merge

Raghda A. Ali

...Show More Authors

RA Ali, LK Abood, Int J Sci Res, 2017 - Cited by 2

View Publication

Publication Date

Mon Mar 01 2021

Journal Name

Iop Conference Series: Materials Science And Engineering

Speech Enhancement Algorithm Based on a Hybrid Estimator

Basheera M.

Sadiq H.

Marwah A.

Muntadher

Jamila

...Show More Authors

Abstract<p>Speech is the essential way to interact between humans or between human and machine. However, it is always contaminated with different types of environment noise. Therefore, speech enhancement algorithms (SEA) have appeared as a significant approach in speech processing filed to suppress background noise and return back the original speech signal. In this paper, a new efficient two-stage SEA with low distortion is proposed based on minimum mean square error sense. The estimation of clean signal is performed by taking the advantages of Laplacian speech and noise modeling based on orthogonal transform (Discrete Krawtchouk-Tchebichef transform) coefficients distribution. The Discrete Kra</p> ... Show More

View Publication

(12)

Publication Date

Thu Dec 03 2015

Journal Name

Iraqi Journal Of Science

New multispectral images classification method based on MSR and Skewness implementing on various sensor scenes

Taghreed

...Show More Authors

Publication Date

Mon Oct 03 2022

Journal Name

International Journal Of Nonlinear Analysis And Applications

Use of learning methods for gender and age classification based on front shot face images

Hussein

Alyaa

...Show More Authors

Publication Date

Thu Apr 01 2010

Journal Name

Ibn Al-haitham Journal For Pure And Applied Science

The Invariant Moments Based With Wavelet Used To Decide the Authintication and Originality of Images

Lafta

...Show More Authors

Publication Date

Mon Jan 04 2021

Journal Name

Multimedia Tools And Applications

Attention enhancement system for college students with brain biofeedback signals based on virtual reality

Marwan Kadhim Mohammed

TianHan

Rana Kadhim

Song

...Show More Authors

View Publication

(5)

(6)

Publication Date

Tue Sep 27 2022

Journal Name

Journal Of Engineering Research And Sciences

Images Compression using Combined Scheme of Transform Coding

Zainab J.

...Show More Authors

Some problems want to be solved in image compression to make the process workable and more efficient. Much work had been done in the field of lossy image compression based on wavelet and Discrete Cosine Transform (DCT). In this paper, an efficient image compression scheme is proposed, based on a common encoding transform scheme; It consists of the following steps: 1) bi-orthogonal (tab 9/7) wavelet transform to split the image data into sub-bands, 2) DCT to de-correlate the data, 3) the combined transform stage's output is subjected to scalar quantization before being mapped to positive, 4) and LZW encoding to produce the compressed data. The peak signal-to-noise (PSNR), compression ratio (CR), and compression gain (CG) measures were used t

View Publication Preview PDF

Publication Date

Wed Jan 01 2020

Journal Name

International Journal Of Advance Science And Technology

MR Images Classification of Alzheimer's Disease Based on Deep Belief Network Method

Alzheimer’s Disease

Magnetic Resonance Imaging

Deep Belief Network

Gray Level

Co-occurrence Matrix

Mohammed S. H.

...Show More Authors

Background/Objectives: The purpose of this study was to classify Alzheimer’s disease (AD) patients from Normal Control (NC) patients using Magnetic Resonance Imaging (MRI). Methods/Statistical analysis: The performance evolution is carried out for 346 MR images from Alzheimer's Neuroimaging Initiative (ADNI) dataset. The classifier Deep Belief Network (DBN) is used for the function of classification. The network is trained using a sample training set, and the weights produced are then used to check the system's recognition capability. Findings: As a result, this paper presented a novel method of automated classification system for AD determination. The suggested method offers good performance of the experiments carried out show that the

Publication Date

Tue Nov 03 2015

Journal Name

Journal Of Natural Sciences Research

Implementation of remote sensing for vegetation studying using vegetation indices and automatic feature space plot

Taghreed

...Show More Authors

Publication Date

Wed Mar 01 2017

Journal Name

2017 Annual Conference On New Trends In Information & Communications Technology Applications (ntict)

Automatic Iraqi license plate recognition system using back propagation neural network (BPNN)

Nawaf Hazim

Mustafa Abdul Sahib

Sinan Sameer Mahmood

...Show More Authors

View Publication

(11)

(8)

Publication Date

Mon Aug 20 2018

Journal Name

Physical Review E

Dynamical density-functional-theory-based modeling of tissue dynamics: Application to tumor growth

Hayder M.

Andrew J.

John

...Show More Authors

View Publication Preview PDF

(20)

(18)

1 2 ... 11 12 13 14 ... 1903 1904