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...

Full description

Saved in:

Bibliographic Details
Published in:	Diagnostics (Basel) Vol. 13; no. 2; p. 196
Main Authors:	Elhassan, Tusneem A., Mohd Rahim, Mohd Shafry, Siti Zaiton, Mohd Hashim, Swee, Tan Tian, Alhaj, Taqwa Ahmed, Ali, Abdulalem, Aljurf, Mahmoud
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 05.01.2023 MDPI
Subjects:	Accuracy acute myeloid leukemia atypical white blood cells augmentation autoencoder Automation Back propagation Blood Bone marrow Classification CNN Datasets Deep learning Fractals Leukemia Lymphocytes Methods Morphology Neural networks Neutrophils atypical white blood cells CNN autoencoder acute myeloid leukemia augmentation
ISSN:	2075-4418, 2075-4418
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!