A novel Deep Learning Framework (DLF) for classification of Acute Lymphoblastic Leukemia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13543-2.pdf
Reference56 articles.
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3. Agrawal R, Satapathy S, Bagla G, Rajakumar K (2019) Detection of white blood cell cancer using image processing. In: Proceedings - international conference on vision towards emerging trends in communication and networking (ViTECoN 2019), pp 1–6. https://doi.org/10.1109/ViTECoN.2019.8899602
4. Ahmed N, Yigit A, Isik Z, Alpkocak A (2019) Identification of leukemia subtypes from microscopic images using convolutional neural network. Diagnostics 9(3). https://doi.org/10.3390/diagnostics9030104https://doi.org/10.3390/diagnostics9030104
5. Ahmed TS, Philip K, Ahmed AE (2020) Efficient classification of white blood cell leukemia with improved swarm optimization of deep features. Sci Rep, 1–11. https://doi.org/10.1038/s41598-020-59215-9https://doi.org/10.1038/s41598-020-59215-9
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