17 citations · 18 across the 8 of their papers we have counts for
3 papers · 1 filter
U-Net Fixed-Point Quantization for Medical Image Segmentation
MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier +4
Model quantization is leveraged to reduce the memory consumption and the computation time of deep neural networks. This is achieved by representing weights and activations with a l…
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
Melanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau +1
Semantic segmentation is a crucial task in biomedical image processing, which recent breakthroughs in deep learning have allowed to improve. However, deep learning methods in gener…
The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection
Telmo Felgueira, Silvio Rodrigues, Christian S. Perone +1
The cost of wind energy can be reduced by using SCADA data to detect faults in wind turbine components. Normal behavior models are one of the main fault detection approaches, but t…