UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays

6 Jun 2020Germán GonzálezAurelia BustosJosé María SalinasMaría de la Iglesia-VayaJoaquín GalantCarlos Cano-EspinosaXavier BarberDomingo Orozco-BeltránMiguel CazorlaAntonio Pertusa

In this work we present a method for the detection of radiological findings, their location and differential diagnoses from chest x-rays. Unlike prior works that focus on the detection of few pathologies, we use a hierarchical taxonomy mapped to the Unified Medical Language System (UMLS) terminology to identify 189 radiological findings, 22 differential diagnosis and 122 anatomic locations, including ground glass opacities, infiltrates, consolidations and other radiological findings compatible with COVID-19... (read more)

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