1 code implementation • MDPI Applied Sciences 2023 • Alberto Solano, Kevin N. Dietrich, Marcelino Martínez-Sober, Regino Barranquero-Cardeñosa, Jorge Vila-Tomás, Pablo Hernández-Cámara
For many years, convolutional neural networks dominated the field of computer vision, not least in the medical field, where problems such as image segmentation were addressed by such networks as the U-Net.
Ranked #6 on Retinal Vessel Segmentation on DRIVE (F1 score metric)
no code implementations • 15 Mar 2023 • Jorge Vila-Tomás, Pablo Hernández-Cámara, Jesús Malo
In fact, the specific cancellation lights (and not the network architecture) are key to obtain human-like curves: results show that the classical choice of the lights is the one that leads to the best (more human-like) result, and any other choices lead to progressively different spectral sensitivities.
no code implementations • 26 Feb 2023 • Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
In this work, we perform a thorough analysis of the perceptual properties of pre-trained nets (particularly their ability to predict image quality) by isolating different factors: the goal (the function), the data (learning environment), the architecture, and the readout: selected layer(s), fine-tuning of channel relevance, and use of statistical descriptors as opposed to plain readout of responses.