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Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

lung; conventional radiography; diagnostic procedure; chronic obstructive pulmonary disease; COVID-19; computed tomography; lungs; variability; segmentation; hybrid deep learning; artificial intelligence; deep learning; computer-based devices; radiology; thoracic diagnostic imaging; chest X-ray; CT; observer tests; performance; lung CT images; nodule detection; VGG-SegNet; pre-trained VGG19; cardiac amyloidosis; AL/TTR amyloidosis; hypertrophic cardiomyopathy; left ventricular hypertrophy; convolutional neural network; Tuberculosis (TB); drug resistance; chest X-rays; generalization; localization; Electrical Impedance Tomography; lung imaging; cardiopulmonary monitoring; aorta; lung cancer; pulmonary artery; pulmonary hypertension; modality-specific knowledge; object detection; RetinaNet; ensemble learning; pneumonia; mean average precision; source data set; supervised classification; coronary artery disease; machine learning; cardiopulmonary disease; faster CNN; medical imaging; X-rays; transfer learning; explainability; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-6435-7

País de edición

Suiza

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