Significant reduction in manual annotation costs in ultrasound medical image database construction through step by step artificial intelligence pre-annotation.

Significant reduction in manual annotation costs in ultrasound medical image database construction through step by step artificial intelligence pre-annotation.

This study investigates the feasibility of reducing manual image annotation costs in medical image database construction by utilizing a step by step approach where the Artificial Intelligence model (AI model) trained on a previous batch of data automatically pre-annotates the next batch of image dat...

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Bibliographic Details
Main Authors: Fu Zheng, Liu XingMing, Xu JuYing, Tao MengYing, Yang BaoJian, Shan Yan, Ye KeWei, Lu ZhiKai, Huang Cheng, Qi KeLan, Chen XiHao, Du WenFei, He Ping, Wang RunYu, Ying Ying, Bu XiaoHui
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-06-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000738
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