LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "detection brain" as a keyword



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

Sign Up to like & get
recommendations! 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

Automated Detection of Brain Metastases on T1‐Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy

Sign Up to like & get
recommendations! 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

Quantitative and textural analysis of magnetization transfer and diffusion images in the early detection of brain metastases

Sign Up to like & get
recommendations! 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

Detection of Brain Tumour Via Reversing Hexagonal Feature Pattern for Classifying Double-Modal Brain Images

Sign Up to like & get
recommendations! Published in 2024 at "IETE Journal of Research"

DOI: 10.1080/03772063.2023.2301663

Abstract: The diagnosis of brain tumours (BT) is time-consuming and heavily dependent on the radiologists' abilities. Multiple algorithms have been developed for detecting and classifying BT that are both accurate and fast. Recent years have seen… read more here.

Keywords: detection brain; brain; hexagonal feature; reversing hexagonal ... See more keywords

False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study

Sign Up to like & get
recommendations! 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

Detection of Brain Abnormalities in Parkinson’s Rats by Combining Deep Learning and Motion Tracking

Sign Up to like & get
recommendations! 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

Gaussian filter and CNN based framework for accurate detection of brain tumor by analyzing MRI images

Sign Up to like & get
recommendations! Published in 2024 at "Bulletin of Electrical Engineering and Informatics"

DOI: 10.11591/eei.v13i6.6778

Abstract: The diagnosis of cancer can be challenging and time-consuming due to the complex characteristics of tumors and inherent noise in medical imaging. The significance of early detection and localization of tumors must be considered. Radiological… read more here.

Keywords: detection; detection brain; brain; mri images ... See more keywords

Earlier Detection of Brain Tumor by Pre-Processing Based on Histogram Equalization with Neural Network

Sign Up to like & get
recommendations! 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