Automated leukemia detection in blood microscopic images using statistical texture analysis

@inproceedings{Mohapatra2011AutomatedLD,
  title={Automated leukemia detection in blood microscopic images using statistical texture analysis},
  author={Subrajeet Mohapatra and Dipti Patra and Sanghamitra Satpathy},
  booktitle={ICCCS},
  year={2011}
}
Pathological image analysis plays a significant role in effective disease diagnostics. Quantitative microscopy has supplemented clinicians with accurate results for diagnosis of dreaded diseases such as leukemia, hepatitis, AIDS, psoriasis. In this paper we present a texture based approach for automated leukemia detection. Acute lymphocytic leukemia (ALL) is a malignant disease characterized by the accumulation of lymphoblast in the bone marrow. Texture features of the blood nucleus are… CONTINUE READING
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