ADGAN: Attribute-Driven Generative Adversarial Network for Synthesis and Multiclass Classification of Pulmonary Nodules-Reference-Cited by-同舟云学术

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ADGAN: Attribute-Driven Generative Adversarial Network for Synthesis and Multiclass Classification of Pulmonary Nodules

Published:2022 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Roy Rukhmini¹^ORCID,Mazumdar Suparna²,Chowdhury Ananda S.³^ORCID

Affiliation:

1. Department of Imaging Physics, M.D Anderson Cancer Center, Houston, TX, USA

2. Department of Radio-Diagnosis, Chittaranjan National Cancer Institute, Kolkata, India

3. Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09833464.pdf?arnumber=9833464

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2. VSNet: classification of pulmonary nodules in 3D using vision transformer and sequence spatial attention mechanism;Multimedia Tools and Applications;2024-06-12

3. Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

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