Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction
Abstract Leukemia is the most prevalent form of blood cancer, affecting individuals across all age groups. Early and accurate diagnosis is crucial for effective treatment and improved clinical outcomes. Peripheral blood smear analysis, a key non-invasive diagnostic tool, often suffers from subjectiv...
Saved in:
| Main Authors: | Sazzli Kasim, Sorayya Malek, JunJie Tang, Xue Ning Kiew, Song Cheen, Bryan Liew, Norashikin Saidon, Raja Ezman, Raja Shariff |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-05585-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Acute promyelocytic leukemia relapsing into acute myeloid leukemia-M2 with normal cytogenetics
by: Ranjit Kumar Sahoo, et al.
Published: (2013-01-01) -
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) -
Outcomes for Patients With Myeloid Neoplasms Treated With Chemotherapy Plus Venetoclax After Prior Venetoclax Therapy
by: Rafael Madero‐Marroquin, et al.
Published: (2025-06-01) -
Infant lymphoblastic leukemia: a single centers 10 year experience
by: İnci Yaman-Bajin, et al.
Published: (2019-06-01) -
Understanding Patients’ Experiences in Newly Diagnosed Adult B Cell Acute Lymphoblastic Leukemia: Qualitative Interviews to Develop a Patient-Centric Conceptual Model
by: Michael Chladek, et al.
Published: (2025-04-01)