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This study systematically investigates the predictive power of volumetric imaging feature sets extracted from select neuroanatomical sites in lateralizing the epileptogenic focus in mesial temporal lobe epilepsy (mTLE) patients.
This article was published in the following journal.
Name: PloS one
[This corrects the article DOI: 10.1371/journal.pone.0199137.].
Image completion techniques are required to complete missing regions in digital images. A key challenge for image completion is keeping consistency of image structures without ambiguity and visual art...
Machine learning for ultrasound image analysis and interpretation can be helpful in automated image classification in large-scale retrospective analyses to objectively derive new indicators of abnorma...
Image segmentation, as a key step of microarray image processing, is crucial for obtaining the spot expressions simultaneously. However, state-of-art clustering-based segmentation algorithms are sensi...
Cavernous malformation (CM) in the temporal neocortex causes intractable epilepsy. Whether to resect additional mesial temporal structures in addition to the lesionectomy is a still controversial issu...
We tried to use data mining method to find out the new model of factors that affects the progression of diabetes mellitus.
Recent data published by various laboratories as well as our preliminary data tend to prove that near-infrared spectroscopy can be used to determine the lateralization of language as part ...
We seek to improve the predictive accuracy of the nomogram to predict survival for patients with castrate mets disease through the addition of pathological data, the results of automated m...
: Assessment of the neurosensory alteration with computer guided inferior alveolar nerve lateralization versus non guided classic technique and measuring stability of implant after placeme...
The study is aimed to evaluate the sensitivity, specificity, positive predictive value, negative predictive value and accuracy rate of endobronchial ultrasound (EBUS) image features in dia...
X-ray image-detecting devices that make a focused image of body structures lying in a predetermined plane from which more complex images are computed.
Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information.
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).
Protective measures against unauthorized access to or interference with computer operating systems, telecommunications, or data structures, especially the modification, deletion, destruction, or release of data in computers. It includes methods of forestalling interference by computer viruses or so-called computer hackers aiming to compromise stored data.
The detection of long and short term side effects of conventional and traditional medicines through research, data mining, monitoring, and evaluation of healthcare information obtained from healthcare providers and patients.
Neurology - Central Nervous System (CNS)
Alzheimer's Disease Anesthesia Anxiety Disorders Autism Bipolar Disorders Dementia Epilepsy Multiple Sclerosis (MS) Neurology Pain Parkinson's Disease Sleep Disorders Neurology is the branch of me...
Epilepsy is defined as a disorder of brain function characterized by recurrent seizures that have a sudden onset. (Oxford Medical Dictionary). A seizure is caused by a sudden burst of excess electrical activity in the brain, causing a tempora...