STREAMING MICROSCOPIC IMAGE DATA TO THE CLOUD STORAGE FOR DETECTION OF ACUTE LYMPHOBLASTIC LEUKEMIA USING CNN
Abstract. In the modern world, the problem of the prevalence of cancer remains quite widespread, including acute lymphoblastic leukemia. It is very important to diagnose such diseases in the early stages in order to prescribe timely treatment and achieve patient remission. However, the problem that...
Saved in:
Main Authors: | P. Kravchenko, I. Burlachenko |
---|---|
Format: | Article |
Language: | English |
Published: |
Odessa National Academy of Food Technologies
2024-12-01
|
Series: | Автоматизация технологических и бизнес-процессов |
Subjects: | |
Online Access: | https://journals.ontu.edu.ua/index.php/atbp/article/view/3011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia
by: Abhiram Thiriveedhi, et al.
Published: (2025-01-01) -
The combination of a tyrosine kinase inhibitor and blinatumomab in patients with Philadelphia chromosome–positive acute lymphoblastic leukemia or Philadelphia chromosome‐like acute lymphoblastic leukemia
by: Xiaoxia Wu, et al.
Published: (2024-09-01) -
Secondary neoplasms in survivors of pediatric acute lymphoblastic leukemia and lymphoblastic lymphoma: a single-center, retrospective study
by: Eri Ushida, et al.
Published: (2025-01-01) -
Improve the Positioning Accuracy for Indoor Applications Based on Hyperbolic Method with Optimum Measurement
by: Noor N. Abed, et al.
Published: (2023-03-01) -
RNA-BioLens: A Novel Raspberry Pi-Based Digital Microscope With Image Processing for Acute Lymphoblastic Leukemia Detection
by: Angeline Dwi Sanjaya, et al.
Published: (2025-01-01)