Automatic Approach for Brain Aneurysm Detection Using Convolutional Neural Networks

Automatic Approach for Brain Aneurysm Detection Using Convolutional Neural Networks

The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a significant health risk, and early detection is vital for...

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Bibliographic Details
Main Authors:	Martin Paralic, Kamil Zelenak, Patrik Kamencay, Robert Hudec
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Applied Sciences
Subjects:	brain aneurysm deep learning computer-aided diagnosis LSTM 3DCNN-ConvLSTM
Online Access:	https://www.mdpi.com/2076-3417/13/24/13313

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