Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability

Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability

Stroke detection using medical imaging plays a crucial role in early diagnosis and treatment planning. In this study, we propose a Convolutional Neural Network (CNN)-based model for detecting strokes from brain Computed Tomography (CT) images. The model is trained on a dataset consisting of 2501 ima...

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Bibliographic Details
Main Authors: Hassan Abdi, Mian Usman Sattar, Raza Hasan, Vishal Dattana, Salman Mahmood
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Information
Subjects:
convolutional neural network
stroke detection
brain computed tomography images
medical imaging
model interpretability
hyperparameter optimization
Online Access:https://www.mdpi.com/2078-2489/16/5/345
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