A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images-Reference-Cited by-同舟云学术

A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images

Published:2023-11 Issue: Volume:3 Page:100196
ISSN:2772-4425
Container-title:Healthcare Analytics
language:en
Short-container-title:Healthcare Analytics

Author:

Gudadhe Santwana,Thakare Anuradha^ORCID,Anter Ahmed M.

Publisher

Elsevier BV

Subject

Health Informatics,Analytical Chemistry

Reference44 articles.

1. Intracranial hemorrhage and intracranial hypertension;Marcolini;Emerg. Med. Clin.,2019

2. S.C. Juan, C. Steren, S. Carolina, et al., Convolutional neural networks for detection of intracranial hemorrhage in CT images, in: Proceedings of the 4th Congress on Robotics and Neuroscience, Valparaíso, Chile, 2020, p. 2564.

3. Early diagnosis of traumatic intracranial hematomas;Ayaz;J. Biomed. Opt.,2019

4. Neuro critical care for intracranial haemorrhage: A systematic review of recent studies;Badenes;Br. J. Anaesth.,2015

5. Neuroimaging in traumatic brain imaging;Lee;NeuroRx: J. Am. Soc. Exp. NeuroTherapeutics,2005

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