A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation study

A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation study

Background: B-cell acute lymphoblastic leukemia (B-ALL) is one of the most widespread cancers, and its definitive diagnosis demands invasive and costly diagnostic tests with side effects for patients. Access to definitive diagnostic equipment for B-ALL is limited in many geographical areas. Blood mi...

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Bibliographic Details
Main Authors: Azamossadat Hosseini, Mohammad Amir Eshraghi, Tania Taami, Hamidreza Sadeghsalehi, Zahra Hoseinzadeh, Mustafa Ghaderzadeh, Mohammad Rafiee
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Lightweight
Mobile application
Acute lymphoblastic leukemia
efficientnetb0
mobilenetv2
NASNet mobile
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823000862

Internet

http://www.sciencedirect.com/science/article/pii/S2352914823000862

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