Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging

Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging

Abstract Background Upon the discovery of ovarian cysts, obstetricians, gynecologists, and ultrasound examiners must address the common clinical challenge of distinguishing between benign and malignant ovarian tumors. Numerous types of ovarian tumors exist, many of which exhibit similar characterist...

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Bibliographic Details
Main Authors: Shih-Tien Hsu, Yu-Jie Su, Chian-Huei Hung, Ming-Jer Chen, Chien-Hsing Lu, Chih-En Kuo
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Convolution neural network
Ovarian tumor
Ultrasound diagnosis
Grad-CAM
Ensemble learning
Online Access:https://doi.org/10.1186/s12911-022-02047-6

Internet

https://doi.org/10.1186/s12911-022-02047-6

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