Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Automatic detection and classification of thoracic diseases using deep learning algorithms have many applications supporting radiologists’ diagnosis and prognosis. However, in the medical field, the class-imbalanced problem is extremely common due to the differences in prevalence among diseas...

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Detalhes bibliográficos

Principais autores:	Kyeongjin Ann, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Conditional generative model medical image augmentation class activation map high resolution image nodule classification and detection chest X-ray
Acesso em linha:	https://ieeexplore.ieee.org/document/9551995/
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