Zobrazeno 1 - 10
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pro vyhledávání: '"Mendoza, Miguel A."'
Autor:
Flores-Araiza, Daniel, Lopez-Tiro, Francisco, Larose, Clément, Hinojosa, Salvador, Mendez-Vazquez, Andres, Gonzalez-Mendoza, Miguel, Ochoa-Ruiz, Gilberto, Daul, Christian
The in-vivo identification of the kidney stone types during an ureteroscopy would be a major medical advance in urology, as it could reduce the time of the tedious renal calculi extraction process, while diminishing infection risks. Furthermore, such
Externí odkaz:
http://arxiv.org/abs/2409.12883
Autor:
Losada, Matt
Publikováno v:
Cinéaste, 2018 Dec 01. 44(1), 60-62.
Externí odkaz:
https://www.jstor.org/stable/26563071
Autor:
Quihui-Rubio, Pablo Cesar, Flores-Araiza, Daniel, Gonzalez-Mendoza, Miguel, Mata, Christian, Ochoa-Ruiz, Gilberto
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 can improve the workflow of prostate cancer detection and diagnosis. The
Externí odkaz:
http://arxiv.org/abs/2309.01322
Autor:
Quihui-Rubio, Pablo Cesar, Flores-Araiza, Daniel, Ochoa-Ruiz, Gilberto, Gonzalez-Mendoza, Miguel, Mata, Christian
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 workflow of prostate cancer detection and diagnosis. Seven different U-Ne
Externí odkaz:
http://arxiv.org/abs/2308.04653
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 recent advances in pose estimation models to use skeleton sequences estimat
Externí odkaz:
http://arxiv.org/abs/2304.05403
Autor:
Flores-Araiza, Daniel, Lopez-Tiro, Francisco, El-Beze, Jonathan, Hubert, Jacques, Gonzalez-Mendoza, Miguel, Ochoa-Ruiz, Gilberto, Daul, Christian
Identifying the type of kidney stones can allow urologists to determine their cause of formation, improving the prescription of appropriate treatments to diminish future relapses. Currently, the associated ex-vivo diagnosis (known as Morpho-constitut
Externí odkaz:
http://arxiv.org/abs/2304.04077
Autor:
Villalvazo-Avila, Elias, Lopez-Tiro, Francisco, El-Beze, Jonathan, Hubert, Jacques, Gonzalez-Mendoza, Miguel, Ochoa-Ruiz, Gilberto, Daul, Christian
This contribution presents a deep learning method for the extraction and fusion of information relating to kidney stone fragments acquired from different viewpoints of the endoscope. Surface and section fragment images are jointly used during the tra
Externí odkaz:
http://arxiv.org/abs/2211.02967
Autor:
Quihui-Rubio, Pablo Cesar, Ochoa-Ruiz, Gilberto, Gonzalez-Mendoza, Miguel, Rodriguez-Hernandez, Gerardo, Mata, Christian
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 diagnosis of prostate cancer is the localization of Regions of Interest (
Externí odkaz:
http://arxiv.org/abs/2207.09483
Autor:
Pérez-Guerrero, Carmina, Ciprián-Sánchez, Jorge Francisco, Palacios, Adriana, Ochoa-Ruiz, Gilberto, Gonzalez-Mendoza, Miguel, Foroughi, Vahid, Pastor, Elsa, Rodriguez-Hernandez, Gerardo
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 because they are often involved in a process that generates a sequence of o
Externí odkaz:
http://arxiv.org/abs/2206.02110
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 specialized task of analyzing these images by assisting in the quantifi
Externí odkaz:
http://arxiv.org/abs/2206.00536