5 citations · 13 across the 11 of their papers we have counts for
11 papers
A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model
Gerardo Valente Vazquez-Garcia, Carmina Perez Guerrero, Eduardo Garduño +7
In this work we present a novel framework for fire safety management in industrial settings through the implementation of a smart camera platform for jet flames characterization. T…
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel Gonzalez-Mendoza +2
This contribution presents a deep learning method for the segmentation of prostate zones in MRI images based on U-Net using additive and feature pyramid attention modules, which ca…
An FPGA smart camera implementation of segmentation models for drone wildfire imagery
Eduardo Guarduño-Martinez, Jorge Ciprian-Sanchez, Gerardo Valente +5
Wildfires represent one of the most relevant natural disasters worldwide, due to their impact on various societal and environmental levels. Thus, a significant amount of research h…
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz +2
This study focuses on comparing deep learning methods for the segmentation and quantification of uncertainty in prostate segmentation from MRI images. The aim is to improve the wor…
Isolated Sign Language Recognition based on Tree Structure Skeleton Images
David Laines, Gissella Bejarano, Miguel Gonzalez-Mendoza +1
Sign Language Recognition (SLR) systems aim to be embedded in video stream platforms to recognize the sign performed in front of a camera. SLR research has taken advantage of recen…
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures
Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza +2
Prostate cancer is the second-most frequently diagnosed cancer and the sixth leading cause of cancer death in males worldwide. The main problem that specialists face during the dia…
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach
Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios +5
Among the different kinds of fire accidents that can occur during industrial activities that involve hazardous materials, jet fires are one of the lesser-known types. This is becau…
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation
Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza +1
The retinal vessel network studied through fundus images contributes to the diagnosis of multiple diseases not only found in the eye. The segmentation of this system may help the s…
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +4
Jet fires are relatively small and have the least severe effects among the diverse fire accidents that can occur in industrial plants; however, they are usually involved in a proce…
Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +3
Risk assessment is relevant in any workplace, however there is a degree of unpredictability when dealing with flammable or hazardous materials so that detection of fire accidents b…
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
Cuauhtemoc Daniel Suarez-Ramirez, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez +2
The optimization of Binary Neural Networks (BNNs) relies on approximating the real-valued weights with their binarized representations. Current techniques for weight-updating use t…