CIALAB Follicular Lymphoma research to be published in the Computer Methods and Programs in Biomedicine Journal
The article entitled "Feature-Based Registration of Histopathology Images with Different Stains: An Application for Computerized Follicular Lymphoma Prognosis" has been accepted for publication in the Computer Methods and Programs in Biomedicine Journal. This study is a part of the computer-aided system being developed for the automated histopathological evaluation of Follicular Lymphoma, one of the most common type of lymphoid malignancy affecting more than fifty thousand people in the United States annually. The abstract of this study appears below: Feature-Based Registration of Histopathology Images with Different Stains: An Application for Computerized Follicular Lymphoma Prognosis Follicular lymphoma (FL) is the second most common type of non-Hodgkin’s lymphoma. Manual histological grading of FL is subject to remarkable interand intra-reader variations. A promising approach to grading is the development of a computer-assisted system that improves consistency and precisio...