Rule Based Expert System for Cerebral Palsy Diagnosis [PDF]
arXiv, 2012 The use of Artificial Intelligence is finding prominence not only in core computer areas, but also in cross disciplinary areas including medical diagnosis. In this paper, we present a rule based Expert System used in diagnosis of Cerebral Palsy. The expert system takes user input and depending on the symptoms of the patient, diagnoses if the patient is
arxiv
Towards Assistive Diagnoses in m-Health: A Gray-box Neural Model for Cerebral Autoregulation Index [PDF]
arXiv, 2020 The cerebral autoregulation system (CAS), is a mechanism which aims to regulate pressure variations occurring in the cerebral circulatory system. At present, there only exist invasive methods and, in turn, they are not used to prevent cerebrovascular accidents.
arxiv
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization [PDF]
, 2019 Blood circulation in the human brain is supplied through a network of cerebral arteries. If a clinician suspects a patient has a stroke or other cerebrovascular condition they order imaging tests. Neuroradiologists visually search the resulting scans for abnormalities.
arxiv +1 more source
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
A Diagnostic Approach to Acute Headache [PDF]
, 1977 Headache is one of the most common symptomatic ailments encountered by the physician. According to one estimate, headache constitutes the major complaint in more than 50% of patients seen in office practice.
Grindal, Alan B.
core +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
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
A review of hydatid disease of the brain [PDF]
, 2018 No ...
De Villiers Hamman, H., Joubert, M.J.
core +1 more source
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
Objective appraisal of tolerance to ventriculography with various radiocontrast media (according to electronystagmography data) [PDF]
The vestibulo oculomotor reflex (nystagmus) was recorded by means of electronystagmography in 33 neurosurgical patients in dynamics prior to and after ventriculography.
Blagoveshchenskaya, N. S. +1 more
core +1 more source