Detection and categorization of acute intracranial hemorrhage subtypes using a <scp>multilayer DenseNet‐ResNet</scp> architecture with improved random forest classifier-Reference-Cited by-同舟云学术

Detection and categorization of acute intracranial hemorrhage subtypes using a multilayer DenseNet‐ResNet architecture with improved random forest classifier

Published:2022-08-02 Issue:22 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Monica Jenefer Balraj M.¹^ORCID,Senathipathi K.²,Aarthi ¹,Annapandi ³

Affiliation:

1. Department of Computer Science and Engineering Meenakshi Sundararajan Engineering College Chennai Tamil Nadu India

2. Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore Tamil Nadu India

3. Department of Electrical and Electronics Engineering Francis Xavier Engineering College Tirunelveli Tamil Nadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7167

Reference35 articles.

1. Neuroinflammation in intracerebral haemorrhage: immunotherapies with potential for translation

2. Global brain inflammation in stroke

3. Antithrombotic therapy and intracranial bleeding in subjects with sporadic brain arteriovenous malformations: preliminary results from a retrospective study

4. Therapeutic anticoagulation for venous thromboembolism after recent brain surgery: Evaluating the risk of intracranial hemorrhage

5. Impact of acetylsalicylic acid in patients undergoing cerebral aneurysm surgery–should the neurosurgeon really worry about it?;Rashidi A;Neurosurg Rev,2021

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