A generalized framework for lung Cancer classification based on deep generative models
A new generalized framework for lung cancer detection and classification are introduced in this paper. Specifically, two types of deep models are presented. The first model is a generative model to capture the distribution of the important features in a set of small class-unbalanced collected CXR im...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |