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Article

Diffusion Models vs. DCGANs for Class-Imbalanced Lung Cancer CT Classification: A Comparative Study

2025-11-20

Abstract excerpt

Effective lung cancer detection from CT scans remains critically challenged by class imbalance where benign and normal cases are underrepresented, leading to biased machine learning models with reduced sensitivity for minority classes and potentially missed diagnoses in cancer screening applications. We present a comprehensive comparative analysis of Diffusion Models and Deep Convolutional Generative Adversarial N...

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Identifiers and source

Literature Corpus work
da730a0e-cf6e-563c-bc8f-8dac83fd5ab4
DOI
10.1101/2025.11.19.689331
Open publication

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Diffusion Models vs. DCGANs for Class-Imbalanced Lung Cancer CT Classification: A Comparative StudyDOI 10.1101/2025.11.19.689331
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