Enhancing Fetal Classification Accuracy through Computer-Aided Impainting Techniques-Reference-Cited by-同舟云学术

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Enhancing Fetal Classification Accuracy through Computer-Aided Impainting Techniques

Published:2024-05-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)
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Author:

Zanbouaa Asmae¹,Zrira Nabila²,Slimani Saad³,Allak Anass⁴,Benmiloud Ibtissam¹,Bouyakhf El Houssine⁵

Affiliation:

1. MECAtronique Team, CPS2E Laboratory National Superior School of Mines,Rabat,Morocco

2. ADOS Team, LISTD Laboratory National Superior School of Mines,Rabat,Morocco

3. Hassan II University,Chief Medical Officer Deepecho Ibn Rochd CHU,Casablanca,Morocco

4. SI2M Laboratory INSEA,Rabat,Morocco

5. CEO-Cofouder Aiox-Labs Head of AI at Deepecho,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577657/10577765/10577871.pdf?arnumber=10577871

Reference15 articles.

1. 4 million neonatal deaths: When? Where? Why?

2. Ending Preventable Newborn Deaths and Stillbirths by 2030,2020

3. Texture Synthesis Based Thyroid Nodule Detection From Medical Ultrasound Images: Interpreting and Suppressing the Adversarial Effect of In-place Manual Annotation

4. A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients

5. Cascaded Hough Transform-Based Hair Mask Generation and Harmonic Inpainting for Automated Hair Removal from Dermoscopy Images

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