Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images

Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images

We propose a method for effectively utilizing weakly annotated image data in an object detection tasks of breast ultrasound images. Given the problem setting where a small, strongly annotated dataset and a large, weakly annotated dataset with no bounding box information are available, training an ob...

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Bibliographic Details
Main Authors: JooYeol Yun, JungWoo Oh, IlDong Yun
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
active learning
breast ultrasound
convolutional neural networks
mass classification
object detection
weakly supervised learning
Online Access:https://www.mdpi.com/2076-3417/10/13/4519

Internet

https://www.mdpi.com/2076-3417/10/13/4519

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