Oscar Jaramillo-Robledo

Efficient Lung Segmentation from Chest Radiographs using Transfer Learning and Lightweight Deep Architecture

J.C. Rendón-Atehortúa, David Augusto Cardenas Peña, Genaro Daza-Santacoloma, Alvaro Angel Orozco et autres

Lung delineation constitutes a critical preprocessing stage for X-ray-based diagnosis and follow-up. However, automatic lung segmentation from chest radiographs (CXR) poses a challenging problem due to anatomical structures' varying shapes and sizes, the differences between radio-opacity, contrast, and image quality, and the …

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Evaluation and Performance of a Positive Airway Pressure Device (CPAP-AirFlife™): A Randomized Crossover Non-Inferiority Clinical Study in Normal Subjects

Hector Andres Tinoco, Luis Perdomo-Hurtado, Joismer A. Henao-Cruz, José Fernando Escobar-Serna et autres

Background and Objectives: During the COVID-19, the demand for non-invasive ventilatory support equipment significantly increased. In response, a novel non-invasive ventilatory support model called CPAP-AirFlife™ was developed utilizing existing technologies. This model offers technological advantages, including an aerosol-controlled helmet suitable for high-risk …

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Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia

Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortíz et autres

The emergence of COVID-19 as a global pandemic forced researchers worldwide in various disciplines to investigate and propose efficient strategies and/or technologies to prevent COVID-19 from further spreading. One of the main challenges to be overcome is the fast and efficient detection …

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NEGATIVE - XNAT - 2

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Second part of Negative XNAT Images, in DICOM format.

POSITIVE - XNAT - 3

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Third part of Positive XNAT Images, in DICOM format.

POSITIVE - XNAT - 2

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Second part of Positive XNAT Images, in DICOM format.

POSITIVE - Tables

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Tables describing the distributions of each of the positive images. They contain information such as subject, session, file path, partition (train, dev, test), and image projection (frontal, lateral).

NEGATIVE - NPY Processed

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Preprocessed negative images stored in numpy array format (npy)

NEGATIVE - MIDS

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Negative images in MIDS format.

NEGATIVE - Tables

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Tables describing the distributions of each of the negative images. They contain information such as subject, session, file path, partition (train, dev, test), and image projection (frontal, lateral).

NEGATIVE - XNAT - 3

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Third part of Negative XNAT Images, in DICOM format.

POSITIVE - NPY Processed

Jose Manuel Saborit-Torres, Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga et autres

Preprocessed positive images stored in numpy array format (npy).