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[PDF][PDF] Magnetic resonance imaging segmentation techniques of brain tumors: A review
Context: Medical imaging technologies are an indispensable tool in medicine today
developed to satisfy the significant demand for information on medical imaging by …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
because of providing an initial estimation for the brain, pathology assessment and tumor …