Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement

Author:

La Barbera GiammarcoORCID,Rouet LaurenceORCID,Boussaid Haithem,Lubet Alexis,Kassir RaniORCID,Sarnacki SabineORCID,Gori PietroORCID,Bloch IsabelleORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference55 articles.

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2. A deep learning design for improving topology coherence in blood vessel segmentation;Araujo,2019

3. Bauer, C., Bischof, H., 2008. A novel approach for detection of tubular objects and its application to medical image analysis. In: DAGM Symp. Pattern Recognition. Vol. 5096, pp. 163–172.

4. The renal vessel segmentation for facilitation of partial nephrectomy;Bugajska,2015

5. Distance map loss penalty term for semantic segmentation;Caliva,2019

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