2022
DOI: 10.18280/mmep.090325
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Image Classification Using a Fully Convolutional Neural Network CNN

Abstract: This article reviews the field of image processing in recent years is enormously developed and it has been used in several specialties like medical, stand-alone, satellite and the purpose of this field is to improve image quality and extract information. Pneumonia has become in recent years a defective disease that affects the majorities of the population is especially the elderly and can sometimes put their lives in danger, in order to save human life early pneumonia diagnostic is necessary; in this work we h… Show more

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Cited by 2 publications
(2 citation statements)
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“…This cropping process aims to decrease the image size and enhance computational efficiency. The complete dataset will be cleared in the background to enhance accuracy [18]. Figure 1 illustrates a sample image dataset after the cropping process has been completed.…”
Section: Dataset Collectionmentioning
confidence: 99%
“…This cropping process aims to decrease the image size and enhance computational efficiency. The complete dataset will be cleared in the background to enhance accuracy [18]. Figure 1 illustrates a sample image dataset after the cropping process has been completed.…”
Section: Dataset Collectionmentioning
confidence: 99%
“…There are two great statistics and computer science lessons: classification or supervised learning and clustering or unsupervised learning [1]. The emphasis of classification is on deriving a rule to assign new objects into a class [1][2][3]. Meanwhile, the principle of clustering is done based on similarities or distances (dissimilarities) [1,2].…”
Section: Introductionmentioning
confidence: 99%