Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification [PDF]
arXiv, 2021 Cerebral hematoma grows rapidly in 6-24 hours and misprediction of the growth can be fatal if it is not operated by a brain surgeon. There are two types of cerebral hematomas: one that grows rapidly and the other that does not grow rapidly. We are developing the technique of artificial intelligence to determine whether the CT image includes the ...
arxiv
Diagnóstico etiológico del infarto cerebral en el hospital comarcal
Revista de Neurología, 2003 INTRODUCTION: Cerebral infarction (CI) can be classified aetiologically in several different ways using explicit diagnostic criteria. However, the extent to which these diagnostic criteria are actually implemented in clinical practice is unknown. Aims.
JA Monge-Argilés +9 more
openaire +3 more sources
Acta Neurológica Colombiana, 2018 INTRODUCCIÓN: El manejo endovascular de la estenosis de la arteria vertebral en pacientes con infarto cerebral recurrente continúa siendo un tema con múltiples lagunas de conocimiento debido a la poca evidencia científica con la que se cuenta en ...
Jorge López-Esparza +8 more
doaj +1 more source
Segmentation of TCD Cerebral Blood Flow Velocity Recordings [PDF]
arXiv, 2018 A binary beat-by-beat classification algorithm for cerebral blood flow velocity (CBFV) recordings based on amplitude, spectral and morphological features is presented. The classification difference between 15 manually and algorithmically annotated CBFV records is around 5%.
arxiv
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation [PDF]
arXiv, 2021 We propose a novel framework for controllable pathological image synthesis for data augmentation. Inspired by CycleGAN, we perform cycle-consistent image-to-image translation between two domains: healthy and pathological. Guided by a semantic mask, an adversarially trained generator synthesizes pathology on a healthy image in the specified location. We
arxiv
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences [PDF]
arXiv, 2022 Flow 2.0 is an end-to-end easy-of-use software that allows us to quickly, robustly and accurately perform a batch process real-time phase contrast data and multivariate analysis of the effect of respiration on cerebral fluids circulation. Synopsis (99/100) Real-time phase contrast sequences (RT-PC) have potential value as a scientific and clinical tool
arxiv
Diagnosis of CADASIL disease in normotensive and non-diabetics with lacunar infarct
Neurología (English Edition), 2011 Background: CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy) is characterized by recurrent cerebral ischemic episodes of the lacunar subtype usually without traditional vascular risk factors.
D. Cocho +7 more
doaj
Crises Epilépticas após Acidente Vascular Cerebral por Infarto Cerebral
Revista Neurociências, 1999 .
openaire +2 more sources
Diagnóstico de la enfermedad de CADASIL en pacientes normotensos y no diabéticos con infarto lacunar
Neurología, 2011 Resumen: Introducción: la enfermedad de CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy) se caracteriza por isquemias cerebrales recurrentes de tipo lacunar, habitualmente en pacientes sin factores de ...
D. Cocho +7 more
doaj
Increased blood pressure variability upon standing up improves reproducibility of cerebral autoregulation indices [PDF]
arXiv, 2017 Dynamic cerebral autoregulation, that is the transient response of cerebral blood flow to changes in arterial blood pressure, is currently assessed using a variety of different time series methods and data collection protocols. In the continuing absence of a gold standard for the study of cerebral autoregulation it is unclear to what extent does the ...
arxiv