ArticleJournal of digital imaging2020
Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images.
Article in Journal of digital imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps.Scientific reports · 2026Article
- Efficient blood cell classification from microscopic smear images using U-Net segmentation and a lightweight CNN.Scientific reports · 2025Article
- Deep Learning Neural Network Based on PSO for Leukemia Cell Disease Diagnosis from Microscope Images.Journal of imaging informatics in medicine · 2025Article
- BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset.Journal of imaging informatics in medicine · 2025Article
- An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization.Scientific reports · 2025Article
- An efficient leukemia prediction method using machine learning and deep learning with selected features.PloS one · 2025Article
- Review of In Situ Hybridization (ISH) Stain Images Using Computational Techniques.Diagnostics (Basel, Switzerland) · 2024Review
- ALL classification using neural ensemble and memetic deep feature optimization.Frontiers in artificial intelligence · 2024Article
- An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.Frontiers in oncology · 2024Article
- Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing.Journal of healthcare engineering · 2023Article
- BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification.Diagnostics (Basel, Switzerland) · 2022Article
- An Efficient Multi-Level Convolutional Neural Network Approach for White Blood Cells Classification.Diagnostics (Basel, Switzerland) · 2022Article
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5 authors.
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Abstract
Peripheral blood smear analysis plays a vital role in diagnosing many diseases including cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased number of white blood cells in peripheral blood. Unusual variations in appearance of white blood cells indicate leukemia. In this paper, an automated method for detection of leukemia using image processing approach is proposed. In the present study, 1159 images of different brightness levels and color shades were acquired from Leishman stained peripheral blood smears. SVM classifier was used for classification of white blood cells into normal and abnormal, and also for detection of leukemic WBCs from the abnormal class. Classification of the normal white blood cells into five sub-types was performed using NN classifier. Overall classification accuracy of 98.8% was obtained using the combination of NN and SVM.
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