Article

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

2023-11-21

Abstract excerpt

<title>Abstract</title> <p>We present SLIViT, a deep-learning framework that accurately measures disease-related risk factors in volumetric biomedical imaging, such as magnetic resonance imaging (MRI) scans, optical coherence tomography (OCT) scans, and ultrasound videos. To evaluate SLIViT, we applied it to five different datasets of these three different data modalities tackling seven learning tasks (including...

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Literature Corpus work: b35eccd0-ac9a-5333-b719-ae102c112be6
DOI: 10.21203/rs.3.rs-3044914/v2

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