Automatic Segmentation of Red Blood Cells from Microscopic Blood Smear Images Using Image Processing Techniques

K. T. Navya; Subhraneil Das; Keerthana Prasad

doi:10.1007/978-981-16-9967-2_5

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Automatic Segmentation of Red Blood Cells from Microscopic Blood Smear Images Using Image Processing Techniques

K. T. Navya Subhraneil Das Keerthana Prasad

Year: 2022 Lecture notes in networks and systems Pages: 39-50 Publisher: Springer International Publishing

DOI: 10.1007/978-981-16-9967-2_5

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Keywords:

Blood smear Segmentation Artificial intelligence Computer vision Stain Computer science Histogram Normalization (sociology) Image processing Pattern recognition (psychology) Image segmentation Staining Biomedical engineering Pathology Medicine Image (mathematics)

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Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Blood properties and coagulation

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Automatic Segmentation of Red Blood Cells from Microscopic Blood Smear Images Using Image Processing Techniques

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