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

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 di...

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Bibliographic Details
Main Authors: Kyeongjin Ann, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Conditional generative model
medical image augmentation
class activation map
high resolution image
nodule classification and detection
chest X-ray
Online Access:https://ieeexplore.ieee.org/document/9551995/

Internet

https://ieeexplore.ieee.org/document/9551995/

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