Morphological Analysis of Microscopic Images - T.P., Deepa;H.J., Pavithra;V., Jhanhavi
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Histology is a critical tool in medicine and therefore automated histology analysis could have a profound effect on health-care quality, availability, and cost. At the same time, the field provides a host of fascinating signal processing challenges. Automated image segmentation for cell analysis is generally a difficult problem due to the large variability (different microscopes, stains, cell types, cell densities and complexity of the data (possibly time-lapse images, acquired at multiple wavelengths, using multiple microscopes, and containing large numbers of cells).

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Produktbeschreibung
Histology is a critical tool in medicine and therefore automated histology analysis could have a profound effect on health-care quality, availability, and cost. At the same time, the field provides a host of fascinating signal processing challenges. Automated image segmentation for cell analysis is generally a difficult problem due to the large variability (different microscopes, stains, cell types, cell densities and complexity of the data (possibly time-lapse images, acquired at multiple wavelengths, using multiple microscopes, and containing large numbers of cells).
Autorenporträt
Prof. Deepa.T.P is currently working as Assistant Professor, Department of Computer Science and Engineering, Jain University, Bangalore, Karnataka, India. She is doing research in the area of image processing. Her other area of interests are Wireless sensor networks, Brain signal processing, Machine Learning, Artificial Intelligence.