Machine Learning Model for Intracranial Hemorrhage Diagnosis and Classification

Machine Learning Model for Intracranial Hemorrhage Diagnosis and Classification

Intracranial hemorrhage (ICH) is a pathological disorder that necessitates quick diagnosis and decision making. Computed tomography (CT) is a precise and highly reliable diagnosis model to detect hemorrhages. Automated detection of ICH from CT scans with a computer-aided diagnosis (CAD) model is use...

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Bibliographic Details
Main Authors: Sundar Santhoshkumar, Vijayakumar Varadarajan, S. Gavaskar, J. Jegathesh Amalraj, A. Sumathi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Electronics
Subjects:
multilevel thresholding
DenseNet
deep learning
ICH diagnosis
CT images
computer-aided diagnosis
Online Access:https://www.mdpi.com/2079-9292/10/21/2574

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