Improving AI models for rare thyroid cancer subtype by text guided diffusion models

Improving AI models for rare thyroid cancer subtype by text guided diffusion models

Abstract Artificial intelligence applications in oncology imaging often struggle with diagnosing rare tumors. We identify significant gaps in detecting uncommon thyroid cancer types with ultrasound, where scarce data leads to frequent misdiagnosis. Traditional augmentation strategies do not capture...

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Main Authors: Fang Dai, Siqiong Yao, Min Wang, Yicheng Zhu, Xiangjun Qiu, Peng Sun, Cheng Qiu, Jisheng Yin, Guangtai Shen, Jingjing Sun, Maofeng Wang, Yun Wang, Zheyu Yang, Jianfeng Sang, Xiaolei Wang, Fenyong Sun, Wei Cai, Xingcai Zhang, Hui Lu
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-59478-8
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https://doi.org/10.1038/s41467-025-59478-8

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