Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings-Reference-Cited by-同舟云学术

Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings

Published:2023-08-07 Issue:04 Volume:10 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Oyibo Prosper¹,Meulah Brice²,Bengtson Michel²,van Lieshout Lisette²,Oyibo Wellington³,Diehl Jan-Carel⁴,Vdovine Gleb¹,Agbana Tope¹

Affiliation:

1. Delft University of Technology, Delft Center for Systems and Control, Faculty of Mechanical, Maritime, and Materials Engineering, Delft, The Netherlands

2. Leiden University Medical Centre, Department of Parasitology, Leiden, The Netherlands

3. University of Lagos, College of Medicine, Centre for Malaria Diagnosis, NTD Research, Training, and Policy/ANDI Centre of Excellence for Malaria Diagnosis, Lagos, Nigeria

4. Delft University of Technology, Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft, The Netherlands

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference43 articles.

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2. Schistosomiasis with a Focus on Africa

3. New diagnostic tools in schistosomiasis

4. Prevalence of myopia and binocular vision dysfunctions in microscopists;Rajeshwori,2018

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