Search Results - "Brain tumor"
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Exposure to Pesticides and the Risk of Childhood Brain Tumors
Published 2013Subjects: “…Brain tumors…”
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Brain tumor detection and localization in magnetic resonance imaging
Published 2014“…We propose an automatic brain tumor detection and localization framework that can detect and localize brain tumor in magnetic resonance imaging. …”
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Classification of brain tumors: using deep transfer learning
Published 2023“…Brain tumor classification is important for diagnosing and treating cancers. …”
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Diagnostic delay and reducing the diagnostic interval in children with brain tumor
Published 2018“…Despite this, 60% of long-term survivors of childhood brain tumors are moderately or severely neurologically disabled. …”
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Parental Occupational Exposure to Engine Exhausts and Childhood Brain Tumors
Published 2013“…Childhood brain tumors (CBT) are the leading cause of cancer death in children; their risk factors are still largely unknown. …”
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Radiologic image-based statistical shape analysis of brain tumors
Published 2018“…The utility of the framework is illustrated through specific statistical tasks on a dataset of radiologic images of patients diagnosed with glioblastoma multiforme, a malignant brain tumor with poor prognosis. In particular, our analysis discovers two patient clusters with very different survival, subtype and genomic characteristics. …”
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Brain tumor image segmentation using deep learning approach
Published 2022“…In neurosurgical, Magnetic Resonance Images (MRI) scans are used to detect cancerous cell grow thin brain called brain tumor. Application that can aid in providing automatic brain tumor segmentation is crucial as segmentation of the exact size and spatial location of these tumors are a time-consuming task. …”
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Investigation Of Edge Detection Techniques Based On Brain Tumor Images
Published 2018“…However, from visual perspective, Sobel operator produced better edge maps of the brain tumor compared to the Modified Canny algorithm.…”
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Integrating Pixel-Based Algorithms for Area Measurement in Brain Tumor Classification
Published 2025“…Nonetheless, there remain deficiencies in the interpretation, analysis, and imaging of brain tumors in detection. This study seeks to identify brain tumors to ascertain their size and extent by a pixel-based methodology. …”
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Brain tumor quantification equation: modeled on complete step response algorithm
Published 2012“…What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume.…”
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Childhood and parental diagnostic radiological procedures and risk of childhood brain tumors
Published 2014“…Purpose: Childhood brain tumors (CBT) are the second most common type of childhood cancer and the leading cause of childhood cancer mortality. …”
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Leveraging u-net architecture for accurate localization in brain tumor segmentation
Published 2023“…This study presents an approach based on deep learning to segment brain tumors in medical imaging accurately. The segmentation of brain tumors plays a crucial role in diagnosing, planning treatments, and monitoring disease progression. …”
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The Partial Differential Equations (PDE) to solve the mathematical problem will be discussed in this study. The growth of the brain tumor through angiogenic process is described as parabolic model in partial differential equations. …”
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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…The main purpose of this research is to design a comprehensive algorithm which aims to aid the medical practitioners mainly the radiographers, radiologists and neurologists in primary brain tumors diagnosis. Detection of primary brain tumors is inspired by the necessity of high accuracy as it deals with human life. …”
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Three-dimensional visualization of brain tumor computed tomography images / Nurizzaty Khairi Mohamed
Published 2021“…The reconstructed 3D images expected to visualize 2D brain tumor CT images into 3D image and measure 3D volume of brain tumor. …”
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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…The main purpose of this research is to design a comprehensive algorithm which aims to aid the medical practitioners mainly the radiographers, radiologists and neurologists in primary brain tumors diagnosis. Detection of primary brain tumors is inspired by the necessity of high accuracy as it deals with human life. …”
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Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks
Published 2023“…Achieving precise tumor segmentation is essential for accurate diagnosis. Since brain tumors segmentation require a significant training process, reducing the training time is critical for timely treatment. …”
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