Listar por autor "0000-0003-2931-7637"
Mostrando ítems 1-20 de 24
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A fuzzy approach for feature extraction of brain tissues in Non-Contrast CT
Gordillo Castillo, Nelly (2018-01-15)In neuroimaging, brain tissue segmentation is a fundamental part of the techniques that seek to automate the detection of pathologies, the quantification of tissues or the evaluation of the progress of a treatment. Because ... -
Adaptive filter with Riemannian manifold constraint
Mejia, Jose (2023-06-02)The adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear ... -
Artificial Intelligence and Cancer Detection
Gordillo Castillo, Nelly (CRC Press, 2023-10-23)Artificial Intelligence (AI) has recently been used to support medical diagnosis, developing tools to increase diagnostic efficiency and decrease response times, particularly in cancer detection with digital images. ... -
Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach
Gordillo Castillo, Nelly (2018-06-05)The detection of ischemic changes is a primary task in the interpretation of brain Computer Tomography (CT) of patients suffering from neurological disorders. Although CT can easily show these lesions, their interpretation ... -
Automatic Fall Detection for the Care of Older Adults in Smart Cities
Mejia, Jose (Springer, 2021-01-01)As the number of elderly people increases, it is a necessity for smart cities to take care of elder special needs. As people age, the likelihood of accidents increases because of their motor skills decrease over time, ... -
Cerebro, emociones y neuroplasticidad
Gordillo Castillo, Nelly (2022-11-11) -
Characterization of Impulse Oscillometric Measures of Respiratory Small Airway Function in Children
Avila, Nancy (2019-03-01)Abstract. Children suffering from asthma are often undiagnosed or misdiagnosed as their symptoms are similar to other respiratory conditions. Spirometry, the "golden" pulmonary function test used for asthma di- agnosis, ... -
CO2 Levels in the Naso-Buccal Area Due to the Use of Different Face Masks in Different Ventilation Conditions
Saenz, Stephanie (Springer, 2022-10-24) -
Computer-aided classification of small airways dysfunction using impulse oscillometric features: a children-focused review
Ávila, Nancy (2019-10-10)Abstract Background and objective Spirometry, which is the most commonly used technique for asthma diagnosis, is often unsuitable for small children as it requires them to follow exact instructions and perform extreme ... -
Desarrollo de técnicas automáticas de detección de patologías en imágenes médicas
Gordillo Castillo, Nelly (2022-05-11) -
Detección de cáncer de endometrio a partir de imágenes de biopsias de Pipelle de Cornier basado en aprendizaje profundo
Gordillo Castillo, Nelly; Lira Casas, Haydeé Itzel (UACJ, 2023-12-01) -
Estimación automática de la variabilidad en la delineación de la próstata en imágenes de resonancia magnética
Gordillo Castillo, Nelly (Universidad Autónoma de Ciudad Juárez, 2021-05-21)El propósito de esta investigación es crear un algoritmo capaz de proveer una estimación de incertidumbre (valores probabilísticos, áreas de variabilidad, etc.) de la estructura anatómica de la próstata sobre la segmen- ... -
Feature space optimization for brain tissue classification in non-contrast computed tomography images
Mejia, Jose; Mederos, Boris; Gordillo Castillo, Nelly; Sánchez Guerrero, César Ubaldo; Cruz Aceves, Iván (IEEE, 2021-09-13)In this work, a classification problem focused on brain tissue types in non-contrasted computed tomography images is explored. A group of characteristics is proposed in the spatial domain, and block model for feature ... -
Hyperdense Middle Cerebral Artery Segmentation in Non Contrast Computed Tomography
Gordillo Castillo, Nelly (Springer, 2018-05-30)The hyperdense middle cerebral artery (MCA) sign refers to focal increased density of the MCA in Non-Contrast Computed Tomography (NCCT) and is the earliest sign of acute ischemic stroke. In this paper, we present the ... -
Identification of Pneumonia with X-ray Images Using Deep Transfer Learning
Díaz Román, José David (Springer, 2023-10-26)Radiology plays an essential role in the identification of pathologies; however, image interpretation and the guarantee of accurate diagnoses continue to represent a challenge that involves expert radiologists. This study ... -
Inteligencia artificial para la detección automática y evaluación de la estabilidad de aneurismas cerebrales en imágenes médicas
Díaz Román, José David (Universidad Autónoma de Ciudad Juárez, 2022-11-18)Los aneurismas cerebrales afectan al 3 % de la población mundial. El diagnóstico por medio de imáge-nes médicas puede llegar a ser extenuante y, en consecuencia, pasar desapercibidos. Además, existe una incertidumbre en ... -
Inteligencia artificial para la evaluación de la estabilidad de aneurismas cerebrales en imágenes médicas
Díaz Román, José David (Universidad Autónoma de Ciudad Juárez, 2022-05-26)Los aneurismas cerebrales afectan al 3 % de la población mundial. El diagnóstico por medio de imágenes mé dicas puede llegar a ser extenuante y, en consecuencia, pasar desapercibidos. Además, existe una incertidum bre en ... -
Nanoparticles for Glioblastoma Treatment
Guerra Sánchez, Karen (Springer, 2022-10-24)Glioblastoma multiforme is a primary brain tumor whose diagnosis carries with it a dismal prognosis for survival. The development of nanomedicine would lay a path to cross the hurdles that current treatments fail to overcome: ... -
Permanent Changes in Clinical Engineering Procedures Since COVID-19 in OECD Countries
Gordillo Castillo, Nelly (Springer, 2023-10-27)The COVID-19 pandemic has impacted clinical engineering procedures, including medical technology management, training and technical support, quality risk management, and research and development. This research aims to ... -
PET Image Reconstruction Using a GRU-Convolutional Network
Mejia, Jose (2022-10-24)Positron emission tomography is widely used for tumor detection and treatment monitoring in oncology. However, the quality of the images depends, among other factors, on the amount of radiopharmaceutical ingested by the ...