Documentos de Kevin Barrera | REDI

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Palabras Claves: "Blood cell automatic recognition"

Subtipo de publicación

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Computer Methods and Programs in Biomedicine(2)

Computers in Biology and Medicine(1)

Área temáticas

Métodos informáticos especiales(3)

Enfermedades(2)

Anatomía humana, citología, histología(1)

Ciencias de la computación(1)

Funcionamiento de bibliotecas y archivos(1)

Área de conocimiento

Laboratorio médico(3)

Inteligencia artificial(2)

Medicina interna(2)

Aprendizaje profundo(1)

Objetivos de Desarrollo Sostenible

ODS 10: Reducción de las desigualdades(3)

ODS 15: Vida de ecosistemas terrestres(1)

ODS 16: Paz, justicia e instituciones sólidas(1)

ODS 17: Alianzas para lograr los objetivos(1)

ODS 3: Salud y bienestar(1)

Año de Publicación

Origen

Palabras Claves

Deep learning(3)

Generative Adversarial Networks(3)

convolutional neural networks(3)

Blood cell morphology(2)

Blood cell synthetic images(1)

A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils

Abstract: Background and objectives: This study aims to develop and evaluate NeuNN, a system based on convolut

Palabras claves:

Blood cell automatic recognition, Blood cell morphology, convolutional neural networks, Cytoplasmic inclusions, Deep learning, Generative Adversarial Networks, neutrophils

Alférez S., Kevin Barrera, Merino A., Rodellar J.

Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks

Abstract: Background and Objectives: Combining knowledge of clinical pathologists and deep learning models is

Palabras claves:

Blood cell automatic recognition, Blood cell morphology, convolutional neural networks, Deep learning, Digital staining, Generative Adversarial Networks

Alférez S., Kevin Barrera, Merino A., Rodellar J.

Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)

Abstract: Background and objectives: Visual analysis of cell morphology has an important role in the diagnosis

Palabras claves:

Blood cell automatic recognition, Blood cell synthetic images, convolutional neural networks, Deep learning, Generative Adversarial Networks, Image generation

Kevin Barrera, Merino A., Molina A., Rodellar J.