Classification of Whole Slide Imagesfor the Presence of Maternal Vascular Malperfusion Lesions Using Attention-Based, Weakly Supervised Deep Learning-Reference-Cited by-同舟云学术

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Classification of Whole Slide Imagesfor the Presence of Maternal Vascular Malperfusion Lesions Using Attention-Based, Weakly Supervised Deep Learning

Published:2024-05-20 Issue: Volume:80 Page:1-6
ISSN:
Container-title:2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Khodaee Afsoon¹,Chan Adrian D.C.¹,Ukwatta Eranga¹,Bainbridge Shannon²

Affiliation:

1. Carleton University,Department of Systems and Computer Engineering,Ottawa,Canada

2. Interdisciplinary School of Health Sciences, University of Ottawa,Department of Cellular and Molecular Medicine,Ottawa,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560479/10560519/10560610.pdf?arnumber=10560610

Reference26 articles.

1. Heart Disease and Stroke Statistics—2021 Update

2. Preterm birth with placental evidence of malperfusion is associated with cardiovascular risk factors after pregnancy: a prospective cohort study

3. Sampling and Definitions of Placental Lesions: Amsterdam Placental Workshop Group Consensus Statement

4. Placental Pathology in Early-Onset and Late-Onset Fetal Growth Restriction

5. The clinical heterogeneity of preeclampsia is related to both placental gene expression and placental histopathology

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