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DenseNet-CNN Architectural Model for Detection of Abnormality in Acute Pulmonary Edema
Author(s) -
Cynthia Hayat
Publication year - 2021
Publication title -
khazanah informatika jurnal ilmu komputer dan informatika
Language(s) - English
Resource type - Journals
eISSN - 2621-038X
pISSN - 2477-698X
DOI - 10.23917/khif.v7i2.13455
Subject(s) - deep learning , computer science , artificial intelligence , binary classification , grayscale , abnormality , acute respiratory distress , resampling , pattern recognition (psychology) , machine learning , image (mathematics) , medicine , lung , support vector machine , psychiatry

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