Enhanced Deep Learning Framework for Segmentation and Classification of Acute Lymphoblastic Leukemia from Peripheral Blood Microscope Images

Dr.N.Mahendiran,; Dr.C.Deepa,; Dr.V.Sumathi,; Dr.B.Vidhya,

doi:https://doi.org/10.55041/ijcope.v2i4.746

Volume 02, Issue 04

Published on: April 2026

ENHANCED DEEP LEARNING FRAMEWORK FOR SEGMENTATION AND CLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA FROM PERIPHERAL BLOOD MICROSCOPE IMAGES

Dr.N.Mahendiran Dr.C.Deepa Dr.V.Sumathi Dr.B.Vidhya

Department of CS with Data Analytics / Sri Ramakrishna College of Arts & Science/Coimbatore India

DOI:https://doi.org/10.55041/ijcope.v2i4.746

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Abstract

Early and accurate detection of Acute Lymphoblastic Leukemia (ALL) from peripheral blood images can significantly enhance survival rates and clinical outcomes. Conventional image segmentation techniques and initial Convolutional Neural Network (CNN)-based models have produced encouraging outcomes; however, they encounter difficulties in managing stain variations, overlapping cells, and data imbalance. This study introduces an advanced deep learning framework that combines Hybrid CNN–Transformer (HCT-Net) and Attention-driven Segmentation Networks (ASNet) to enhance the identification of leukemia-affected areas. The suggested method uses transfer learning from pretrained biomedical foundations, a dual-branch encoder–decoder architecture, and spatial-channel attention to highlight features that are specific to leukemia. Using the ALL-IDB1 and ALL-IDB2 datasets for experimental testing shows that the Jaccard Index, Tanimoto coefficient, and segmentation error are all much better than they were with CNN, Fuzzy C-Means, and K-Means methods.

Keywords— Leukemia Detection; Hybrid CNN-Transformer; Attention Mechanism; Deep Learning, Medical Image Segmentation.

How to Cite this Paper

N.Mahendiran, , C.Deepa, , V.Sumathi, & B.Vidhya, (2026). Enhanced Deep Learning Framework for Segmentation and Classification of Acute Lymphoblastic Leukemia from Peripheral Blood Microscope Images. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.746

N.Mahendiran, , et al.. "Enhanced Deep Learning Framework for Segmentation and Classification of Acute Lymphoblastic Leukemia from Peripheral Blood Microscope Images." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.746.

N.Mahendiran, , C.Deepa, V.Sumathi, and B.Vidhya. "Enhanced Deep Learning Framework for Segmentation and Classification of Acute Lymphoblastic Leukemia from Peripheral Blood Microscope Images." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.746.

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•Published on: Apr 28 2026

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