Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation
Acute lymphoblastic leukemia (ALL), a hematologic malignancy characterized by the overproduction of immature lymphocytes, a type of white blood cell. Accurate and timely diagnosis of ALL is crucial for effective management. This article introduces a novel multi-task advanced convolutional neural net...
Saved in:
| Main Authors: | Sercan Yalcin, Zuhal Cetin Yalcin, Muhammed Yildirim, Bilal Alatas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-07-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3043.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Infant lymphoblastic leukemia: a single centers 10 year experience
by: İnci Yaman-Bajin, et al.
Published: (2019-06-01) -
Surveillance and expected outcome of acute lymphoblastic leukemia in children and adolescents: An experience from Eastern India
by: Ashis Mukhopadhyay, et al.
Published: (2013-01-01) -
Deep learning model for early acute lymphoblastic leukemia detection using microscopic images
by: Vatsala Anand, et al.
Published: (2025-08-01) -
Hepatic Dysfunction during Induction Chemotherapy in Children with Acute Lymphoblastic Leukemia and Lymphoblastic Lymphoma and Its Effects on Subsequent Therapy and Outcome
by: Nalla Anuraag Reddy, et al.
Published: (2024-04-01) -
Hemostasis defects correction in children with acute lymphoblastic leukemia
by: A. S. Roshik, et al.
Published: (2022-11-01)