Article

Making densenet interpretable a case study in clinical radiology

2019-12-05

Abstract excerpt

<h4>ABSTRACT</h4> The monotonous routine of medical image analysis under tight time constraints has always led to work fatigue for many medical practitioners. Medical image interpretation can be error-prone and this can increase the risk of an incorrect procedure being recommended. While the advancement of complex deep learning models has achieved performance beyond human capability in some computer vision tasks,...

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Fetal and Pediatric Neurological Disorders

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Literature Corpus work: 72cb0101-f462-51cf-9656-5e4c107174d3
DOI: 10.1101/19013730

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