[PDF][PDF] Magnetic resonance imaging segmentation techniques of brain tumors: A review

HA Jalab, A Hasan - Arch. Neurosci, 2019 - researchgate.net
Context: Medical imaging technologies are an indispensable tool in medicine today
developed to satisfy the significant demand for information on medical imaging by …

[HTML][HTML] MRI brain classification using the quantum entropy LBP and deep-learning-based features

AM Hasan, HA Jalab, RW Ibrahim, F Meziane… - Entropy, 2020 - mdpi.com
Brain tumor detection at early stages can increase the chances of the patient's recovery after
treatment. In the last decade, we have noticed a substantial development in the medical …

[PDF][PDF] MRI Brain Scans Classification Using Bi-directional Modified Gray Level Co-occurrence Matrix and Long Short-Term Memory

MH Hasan, HS Hasan, AM Hasan - NeuroQuantology, 2020 - researchgate.net
Due to the large number of MRI slices provided for each patient, the MRI visual evaluation
process of brain disease diagnosis has become time-consuming, slow and more vulnerable …

Breast Masses in Dynamic Contrast-Enhanced Magnetic Resonance Imaging Classification Based on Combining Deep Learning and Local Binary Pattern Features

R Kadhim, H Hasan, A Hasan - 2024 4th International …, 2024 - ieeexplore.ieee.org
The project's objective is to create a novel method for separating benign from malignant
tumors in breast DCE-MRI scans. The proposed local binary pattern (LBP), kinetic curve …

A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images

B Graham - 2024 - prism.ucalgary.ca
Image registration is used in many medical image analysis applications, such as tracking the
motion of tissue in cardiac images, where cardiac kinematics can be an indicator of tissue …

[KNIHA][B] Detection and description of pulmonary nodules through 2D and 3D clustering

AAF Al-Funjan - 2019 - search.proquest.com
Precise 3D automated detection, description and classification of pulmonary nodules offer
the potential for early diagnosis of cancer and greater efficiency in the reading of …

[PDF][PDF] Mid-Sagittal Plain Detection and Correction Based Wavelet Transfrom and Principle Component Analysis

AM Hasan - pnrsolution.org
The Mid-Sagittal Plain (MSP) of Brain is an important initial step in brain image analysis
because of providing an initial estimation for the brain, pathology assessment and tumor …