Synthetic Image Sequence Generation for Endothelium in Situ Simulator-Reference-Cited by-同舟云学术

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Synthetic Image Sequence Generation for Endothelium in Situ Simulator

Published:2023-07-24 Issue: Volume: Page:517-521
ISSN:
Container-title:2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)
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Author:

Sánchez-Tecuatl Marcial¹,Moccia Francesco²,Berra-Romani Roberto³,Martínez-Carballido Jorge F.¹

Affiliation:

1. National Institute of Astrophysics, Optics and Electronics,Electronics Department,Puebla,Mexico

2. University of Pavia,Laboratory of General Physiology,Department of Biotechnology “Lazzaro Spallanzani”,Pavia,Italy

3. Biomedicine School Benemérita Universidad,Autónoma de Puebla,Puebla,Mexico

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487132/10487174/10487287.pdf?arnumber=10487287

Reference15 articles.

1. A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps

2. Synthetic fingerprint-database generation

3. A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients

4. Virtual cell imaging: A review on simulation methods employed in image cytometry

5. MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy

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