Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification

Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification

<b>Background:</b> This study aimed to evaluate the effect of sample size on the development of a three-dimensional convolutional neural network (3DCNN) model for predicting the binary classification of three types of intracranial hemorrhage (ICH): intraparenchymal, subarachnoid, and sub...

Full description

Saved in:
Bibliographic Details
Main Authors: Chun-Chao Huang, Hsin-Fan Chiang, Cheng-Chih Hsieh, Bo-Rui Zhu, Wen-Jie Wu, Jin-Siang Shaw
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
intracranial hemorrhage
deep learning
3D convolutional neural networks
artificial intelligence
CT
Online Access:https://www.mdpi.com/2075-4418/15/2/216
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items