Results 11 to 20 of about 2,111,371 (205)

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation [PDF]

open access: yesInternational Conference on Medical Image Computing and Computer-Assisted Intervention, 2018
Deep learning networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets, particularly on metrics focused on large pathologies.
T. Nair   +3 more
semanticscholar   +1 more source

Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network [PDF]

open access: yesItalian National Conference on Sensors, 2017
Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy images significantly increases the survival rate. However, the accurate recognition of melanoma is extremely challenging due to the following reasons: low contrast ...
Yuexiang Li, L. Shen
semanticscholar   +1 more source

Caminar, hablar y morir. Caso inusual de lesión cerebral traumática

open access: yesRevista de Educaci�n e Investigaci�n en Emergencias, 2023
La lesión cerebral traumática es motivo frecuente de morbimortalidad. La severidad se establece en relación con los hallazgos clínicos. Existen pacientes con lesiones potencialmente graves que no manifiestan evidencia clínica importante en las primeras horas, permanecen lúcidos, hablan y caminan. Se muestra la presentación clínica inusual de una lesión
openaire   +2 more sources

Caracterización neuropsicológica de las quejas de memoria en la población general: relación con la sintomatología prefrontal y el estrés percibido

open access: yesAnales de Psicologia, 2014
En los últimos años se ha relacionado la presencia de quejas cognitivas en los adultos jóvenes con perfiles atencionales y ejecutivos deficitarios, aunque no patognomónicos, que parecen justificar la aparición de los errores cotidianos.
José M. Ruiz-Sánchez de León   +2 more
doaj   +1 more source

Efecto de la electroacupuntura y ultrasonido terapéutico sobre secuelas de esguince cervical postraumático: estudio de caso 2022

open access: yesRevista de Medicina e Investigación Universidad Autónoma del Estado de México, 2022
En el presente estudio de caso se da a conocer el efecto de la elec-troacupuntura en combinación con el ultrasonido terapéutico sobre secuelas de esguince cervical, siendo éste un mecanismo de lesión, que acontece por una flexión y ...
María de los Ángeles Castañeda Romero   +4 more
doaj   +1 more source

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2019
Automated skin lesion segmentation and classification are two most essential and related tasks in the computer-aided diagnosis of skin cancer. Despite their prevalence, deep learning models are usually designed for only one task, ignoring the potential ...
Yutong Xie   +3 more
semanticscholar   +1 more source

Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods

open access: yesIEEE Access, 2020
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of computerised analysis for skin lesions.
M. Goyal   +4 more
semanticscholar   +1 more source

Lesiones de la raíz posterior de los meniscos

open access: yesRepertorio de Medicina y Cirugía, 2020
Las raíces son fundamentales para la función meniscal debido a que son el punto de anclaje en el platillo tibial y permiten la adecuada función de los mismos. Sus lesiones deben ser motivo de alta sospecha diagnóstica para evitar daños condrales precoces.
Gustavo A. Rincon , Eiber Sanabria
doaj   +1 more source

The generalized contrast-to-noise ratio: a formal definition for lesion detectability

open access: yesIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2019
In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast and lesion detectability in ultrasound images. Recent studies have shown that the CNR cannot be used with modern beamformers, as dynamic range alterations can ...
Alfonso Rodriguez-Molares   +6 more
semanticscholar   +1 more source

Post-stroke deficit prediction from lesion and indirect structural and functional disconnection.

open access: yesBrain : a journal of neurology, 2020
Behavioural deficits in stroke reflect both structural damage at the site of injury, and widespread network dysfunction caused by structural, functional, and metabolic disconnection.
A. Salvalaggio   +4 more
semanticscholar   +1 more source

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