It can be concluded that it is possible to develop a software that identifies pneumonia in chest X-ray images. After training, the model was then exposed to new images, achieving relevant results on identifying such pathology, reaching 98% sensitivity and 97.3% specificity for the sample used for testing. Se pueden realizar muchos tipos de campañas de mailing pero en este post te vamos a dar algunas ideas para que aproveches tus oportunidades de venta a través del correo electrónico. 10 ejemplos de campañas de mailing que puedes crear. For the training process, images were collected from a database available online with children's chest X-rays images taken at a hospital in China. Sólo puedes enviar tus mailings a las personas que hayan aceptado previamente recibirlo. The software was developed as a computational model based on machine learning using transfer learning technique. The objective of this study was to develop a software that identify the presence or absence of pneumonia in chest radiographs. Performing and interpreting the exams as soon as possible is vital for a good treatment, with the most common exam for this pathology being chest X-ray. When identified early, it is possible to alter the prognosis of the patient, one could use imaging exams to help in the diagnostic confirmation. Download a PDF of the paper titled Identification of pneumonia on chest x-ray images through machine learning, by Eduardo Augusto Roeder Download PDF Abstract:Pneumonia is the leading infectious cause of infant death in the world.
