Classification of atypical white blood cells in acute myeloid leukemia using a two-stage hybrid model based on deep convolutional autoencoder and deep convolutional neural network

Classification of atypical white blood cells in acute myeloid leukemia using a two-stage hybrid model based on deep convolutional autoencoder and deep convolutional neural network

Recent advancements in artificial intelligence (AI) have led to numerous medical discoveries. The field of computer vision (CV) for medical diagnosis has received particular attention. Using images of peripheral blood (PB) smears, CV has been utilized in hematology to detect acute leukemia (AL). Sig...

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Bibliographic Details
Main Authors: Elhassan, Tusneem A., Mohd. Rahim, Mohd. Shafry, Mohd. Hashim, Siti Zaiton, Tan, Tian Swee, Alhaj, Taqwa Ahmed, Ali, Abdulalem, Aljurf, Mahmoud
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/106559/1/MohdShafryMohdRahim2023_ClassificationofAtypicalWhiteBloodCells.pdf
http://eprints.utm.my/106559/
http://dx.doi.org/10.3390/diagnostics13020196
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/106559/1/MohdShafryMohdRahim2023_ClassificationofAtypicalWhiteBloodCells.pdf
http://eprints.utm.my/106559/
http://dx.doi.org/10.3390/diagnostics13020196

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