Keerthana Prasad

TL;DR: This study demonstrates classification of white blood cells into six types namely lymphocytes, monocytes, neutrophils, eosinophils, basophils and abnormal cells and provides the comparison of traditional image processing approach and deep learning methods for classification.

TL;DR: There is good scope for development of freely available software for staining intensity quantification, which a medical researcher could easily use without requiring high level computer skills.

TL;DR: The study revealed for the first time that the petroleum-ether extract of CQ reduced bone loss, as evidenced by the weight gain in femur, and also reduced the osteoclastic activity there by facilitating bone formation when compared to the OVX group.

TL;DR: A new approach for breast thermogram image analysis is presented by developing a fully automatic segmentation of right and left breast for asymmetry analysis, using shape features of the breast and Polynomial curve fitting.

TL;DR: It is concluded that lymphocytes and basophils can be accurately detected even when the analysis is limited to the features of nuclei whereas, accurate detection of other types of WBCs will require analysis of the cytoplasm too.