Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification

Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification

Artificial intelligence (AI) technologies have resulted in remarkable achievements and conferred massive benefits to computer-aided systems in medical imaging. However, the worldwide usage of AI-based automation-assisted cervical cancer screening systems is hindered by computational cost and resourc...

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Bibliographic Details
Main Authors: Wen Chen, Weiming Shen, Liang Gao, Xinyu Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
medical imaging
deep learning
lightweight convolutional neural networks
cervical cancer diagnosis
hybrid loss function
Online Access:https://www.mdpi.com/1424-8220/22/9/3272

Internet

https://www.mdpi.com/1424-8220/22/9/3272

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