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- Université de BourgogneFR41 papers
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10 papers · 1 filter
MiSuRe is all you need to explain your image segmentation
Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean
The last decade of computer vision has been dominated by Deep Learning architectures, thanks to their unparalleled success. Their performance, however, often comes at the cost of e…
Segmentation and ABCD rule extraction for skin tumors classification
Mahammed Messadi, Hocine Cherifi, Abdelhafid Bessaid
During the last years, computer vision-based diagnosis systems have been widely used in several hospitals and dermatology clinics, aiming at the early detection of malignant melano…
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration
Hassan Afzal, Djamila Aouada, Michel Antunes +3
Complete and textured 3D reconstruction of dynamic scenes has been facilitated by mapped RGB and depth information acquired by RGB-D cameras based multi-view systems. One of the mo…
Automatic Classification of Bright Retinal Lesions via Deep Network Features
Ibrahim Sadek, Mohamed Elawady, Abd El Rahman Shabayek
The diabetic retinopathy is timely diagonalized through color eye fundus images by experienced ophthalmologists, in order to recognize potential retinal features and identify early…
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features
Fabian Isensee, Paul Jaeger, Peter M. Full +3
Cardiac magnetic resonance imaging improves on diagnosis of cardiovascular diseases by providing images at high spatiotemporal resolution. Manual evaluation of these time-series, h…
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies
Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande
Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) automatic 3-D registration is implemented and validated for small animal image volumes so that the high-reso…