DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images.

Zhen Yuan¹, David Stojanovski², Lei Li³, Alberto Gomez⁴, Haran Jogeesvaran⁵, Esther Puyol-Antón², Baba Inusa⁵, Andrew P King²

¹School of Biomedical Engineering and Imaging Science, King's College London, London, UK. Electronic address: zhen.1.yuan@kcl.ac.uk.

²School of Biomedical Engineering and Imaging Science, King's College London, London, UK.

³Department of Biomedical Engineering, National University of Singapore, Singapore; School of Electronics & Computer Science, University of Southampton, Southampton, UK.

⁴School of Biomedical Engineering and Imaging Science, King's College London, London, UK; Ultromics Ltd, Oxford, UK.

⁵Evelina London Children's Hospital, Guy's and St Thomas NHS Foundation Trust, London, UK.

PubMed DOI

Abstract

Splenomegaly, the enlargement of the spleen, is an important clinical indicator for various associated medical conditions, such as sickle cell disease (SCD). Spleen length measured from 2D ultrasound is the most widely used metric for characterising spleen size. However, it is still considered a surrogate measure, and spleen volume remains the gold standard for assessing spleen size. Accurate sple…

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