Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation

Charmi Patel; Yiyang Wang; Roselyne Tchoua; Alexandru Orhean; Jacob Furst; Daniela Raicu

doi:10.1117/12.3049078

Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation

Charmi Patel
, Yiyang Wang
, Roselyne Tchoua
, Alexandru Orhean
, Jacob Furst
, Daniela Raicu

DePaul University
Milwaukee School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Medical Imaging 2025
Subtitle of host publication	Computer-Aided Diagnosis
Editors	Susan M. Astley, Axel Wismuller
Publisher	SPIE
ISBN (Electronic)	9781510685925
DOIs	https://doi.org/10.1117/12.3049078
State	Published - 2025
Event	Medical Imaging 2025: Computer-Aided Diagnosis - San Diego, United States Duration: Feb 17 2025 → Feb 20 2025

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	13407
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2025: Computer-Aided Diagnosis
Country/Territory	United States
City	San Diego
Period	2/17/25 → 2/20/25

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

Keywords

Data Augmentation
Lung Image Database Consortium
Sensitivity
Variational Autoencoders

Access to Document

10.1117/12.3049078

Cite this

Patel, C., Wang, Y., Tchoua, R., Orhean, A., Furst, J., & Raicu, D. (2025). Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation. In S. M. Astley, & A. Wismuller (Eds.), Medical Imaging 2025: Computer-Aided Diagnosis Article 134072O (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 13407). SPIE. https://doi.org/10.1117/12.3049078

Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation. / Patel, Charmi; Wang, Yiyang; Tchoua, Roselyne et al.
Medical Imaging 2025: Computer-Aided Diagnosis. ed. / Susan M. Astley; Axel Wismuller. SPIE, 2025. 134072O (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 13407).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Patel, C, Wang, Y, Tchoua, R, Orhean, A, Furst, J & Raicu, D 2025, Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation. in SM Astley & A Wismuller (eds), Medical Imaging 2025: Computer-Aided Diagnosis., 134072O, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 13407, SPIE, Medical Imaging 2025: Computer-Aided Diagnosis, San Diego, United States, 2/17/25. https://doi.org/10.1117/12.3049078

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title = "Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation",

keywords = "Data Augmentation, Lung Image Database Consortium, Sensitivity, Variational Autoencoders",

author = "Charmi Patel and Yiyang Wang and Roselyne Tchoua and Alexandru Orhean and Jacob Furst and Daniela Raicu",

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AU - Patel, Charmi

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AU - Furst, Jacob

AU - Raicu, Daniela

PY - 2025

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T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2025

A2 - Astley, Susan M.

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ER -

Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this