Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation

Jue Jiang; Harini Veeraraghavan

2024 MIDL MIDL 2024

Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation

Abstract

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🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Vision

Authors

Jue Jiang, Harini Veeraraghavan

Topics

Machine Learning > Learning Types > Self-Supervised Learning Deep Learning > Architectures > Transformers Computer Vision > Domain-Specific > Medical Imaging

Keywords

self-supervised learning 3d ct scans lung cancer segmentation swing transformer vits wild-pretraining

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