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Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
In this work, we present a Colonoscopy 3D Video Dataset (C3VD) acquired with a high definition clinical colonoscope and high-fidelity colon models for benchmarking computer vision methods in colonoscopy.
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
This study demonstrates that synthetic colonoscopy images generated by Generative Adversarial Network (GAN) inversion can be used as training data to improve the lesion classification performance of deep learning models.
Improving colonoscopy lesion classification using semi-supervised deep learning
While data-driven approaches excel at many image analysis tasks, the performance of these approaches is often limited by a shortage of annotated data available for training.
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