Identification of Anemia and Its Severity Level in a Peripheral Blood Smear Using 3-Tier Deep Neural Network

The automatic detection of blood cell elements for identifying morphological deformities is still a challenging research domain. It has a pivotal role in cognition and detecting the severity level of disease. Using a simple microscope, manual disease detection, and morphological disorders in blood c...

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Auteurs principaux:	Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Asfandyar Khan, Muhammad Assam, Abdullah Mohamed, El-Awady Attia
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-05-01
Collection:	Applied Sciences
Sujets:	anemia convolutional neural network classification disease severity detection machine learning red blood cell
Accès en ligne:	https://www.mdpi.com/2076-3417/12/10/5030
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