Fusion of Ultrasound and Magnetic Resonance Images for Endometriosis Diagnosis: A Non-Parametric Approach-Reference-Cited by-同舟云学术

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Fusion of Ultrasound and Magnetic Resonance Images for Endometriosis Diagnosis: A Non-Parametric Approach

Published:2023-12-10 Issue: Volume:45 Page:26-30
ISSN:
Container-title:2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
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Author:

El Bennioui Youssra¹,Bruguier Alexandre²,Vidal Fabien³,Basarabr Adrian⁴,Tourneret Jean-Yves¹

Affiliation:

1. Institut de Recherche en Informatique de Toulouse, CNRS UMR 5505, Université de Toulouse,France

2. TeSA Laboratory,Toulouse,France

3. Department of Gynecologic Surgery Clinique Croix Du Sud Ramsey Santé,France

4. Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220,France,U1294

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402605/10403414/10403490.pdf?arnumber=10403490

Reference18 articles.

1. Laparoscopic surgery for subfertility associated with endometriosis

2. Clinical applications of registration and fusion of multimodality brain images from PET, SPECT, CT, and MRI

3. Efficient least squares fusion of MRI and CT images using a phase congruency model

4. PET/CT: panacea, redundancy, or some-thing in between?;Vogel V;Journal of Nuclear Medicine,2004

5. Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection

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