Articles with "detection brain" as a keyword



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Detection of Brain Somatic Mutations in Cerebrospinal Fluid from Refractory Epilepsy Patients

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Published in 2021 at "Annals of Neurology"

DOI: 10.1002/ana.26080

Abstract: Brain mosaic mutations are a major cause of refractory focal epilepsies with cortical malformations such as focal cortical dysplasia, hemimegalencephaly, malformation of cortical development with oligodendroglial hyperplasia in epilepsy, and ganglioglioma. Here, we collected cerebrospinal… read more here.

Keywords: epilepsy; detection brain; somatic mutations; refractory ... See more keywords
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Automated Detection of Brain Metastases on T1‐Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy

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Published in 2022 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.28274

Abstract: Detection of brain metastases (BM) and segmentation for treatment planning could be optimized with machine learning methods. Convolutional neural networks (CNNs) are promising, but their trade‐offs between sensitivity and precision frequently lead to missing small… read more here.

Keywords: automated detection; brain metastases; detection brain; convolutional neural ... See more keywords
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Quantitative and textural analysis of magnetization transfer and diffusion images in the early detection of brain metastases

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Published in 2017 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.26257

Abstract: The sensitivity of the magnetization transfer ratio (MTR) and apparent diffusion coefficient (ADC) for early detection of brain metastases was investigated in mice and humans. read more here.

Keywords: early detection; detection brain; brain metastases; magnetization transfer ... See more keywords
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False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study

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Published in 2022 at "Neuro-Oncology"

DOI: 10.1093/neuonc/noac192

Abstract: Abstract Background Errors have seldom been evaluated in computer-aided detection on brain metastases. This study aimed to analyze false negatives (FNs) and false positives (FPs) generated by a brain metastasis detection system (BMDS) and by… read more here.

Keywords: brain; aided detection; detection; detection brain ... See more keywords
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Detection of Brain Abnormalities in Parkinson’s Rats by Combining Deep Learning and Motion Tracking

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Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2023.3237916

Abstract: Parkinson’s disease (PD) is a chronic neurodegenerative disease that affects the central nervous system. PD mainly affects the motor nervous system and may cause cognitive and behavioral problems. One of the best tools to investigate… read more here.

Keywords: brain abnormalities; detection brain; deep learning; motion ... See more keywords
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Earlier Detection of Brain Tumor by Pre-Processing Based on Histogram Equalization with Neural Network

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Published in 2022 at "Healthcare"

DOI: 10.3390/healthcare10071218

Abstract: MRI is an influential diagnostic imaging technology specifically worn to detect pathological changes in tissues with organs early. It is also a non-invasive imaging method. Medical image segmentation is a complex and challenging process due… read more here.

Keywords: processing; brain tumor; brain; earlier detection ... See more keywords