Detection of Biliary Artesia using Sonographic Gallbladder Images with the help of Deep Learning approaches-Reference-Cited by-同舟云学术

Detection of Biliary Artesia using Sonographic Gallbladder Images with the help of Deep Learning approaches

Published:2022-05-17 Issue: Volume: Page:
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Container-title:2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

Obaid Ahmed Mahdi¹,Turki Amina²,Bellaaj Hatem³,Ksontini Mohamed⁴

Affiliation:

1. University of Sfax,sfax,Tunisia

2. Control and Energy Management Laboratory (CEMLab), National Engineering School of Sfax,Sfax,Tunisia,3038

3. Research laboratory on Development and Control of Distributed Applications. (ReDCAD) IPEIS-Route Menzel Chaker Km 0,5-3018 Sfax Tunisie,Sfax,Tunisia,BP 1172-3018

4. Control & Energy Management Laboratory (CEM-Lab), National Engineering School of Sfax, University of Sfax,Sfax,Tunisia,3038

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9803856/9803880/09804084.pdf?arnumber=9804084

Reference41 articles.

1. Enlarged hepatic hilar lymph node: an additional ultrasonographic feature that may be helpful in the diagnosis of biliary atresia

2. Biliary Atresia: Color Doppler US Findings in Neonates and Infants

3. Ultrasound features of the gall bladder in infants presenting with conjugated hyperbilirubinaemia.

4. Early US findings of biliary atresia in infants younger than 30 days

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