A Generative Data Augmentation Trained by Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation-Reference-Cited by-同舟云学术

A Generative Data Augmentation Trained by Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Dai Kaijie¹,Zhou Zehao²,Qiu Song¹,Wang Yan¹,Zhou Mei¹,Li Mingshuai¹,Li Qingli¹

Affiliation:

1. East Normal University,Shanghai Key Laboratory of Multidimensional Information Processing,Shanghai,China

2. Intel Asia Pacific Research and Development Ltd

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191749.pdf?arnumber=10191749

Reference31 articles.

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3. Image-to-Image Translation with Conditional Adversarial Networks

4. U2-Net: Going deeper with nested U-structure for salient object detection

5. A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

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