Work

Learning to Address Intra-segment Misclassification in Retinal Imaging

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-87193-2_46

Authors: Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander

Institutions: NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, University College London, Wellcome / EPSRC Centre for Interventional and Surgical Sciences, Zhejiang Lab

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: Wellcome Trust, National Institute for Health and Care Research, University College London Hospitals NHS Foundation Trust, Engineering and Physical Sciences Research Council

Awards: G1064243852, Medical image computing for next-generation healthcare technology, Assessing Placental Structure and Function by Unified Fluid Mechanical Modelling and in-vivo MRI, Computer-based analysis of early fibrosing lung disease, Computer-based analysis of early fibrosing lung disease, Enabling Clinical Decisions From Low-power MRI In Developing Nations Through Image Quality Transfer, G902693135

OpenAlex ID: W3159728757

FWCI: 4.458

Cites: 34

Cited by: 24

Related to: 10