The Computational Biology Initiative at the Center for Biomedical Informatics in collaboration with Systems Biology Department and Dana Farber Institute is developing advanced image processing and machine learning techniques to extract information about cells and cellular components from images obtained with microscope.
The project includes a wide variety of processes including: object detection, object tracking, morphological and texture feature measurement, derivative feature development and machine learning approaches for classification tasks. |
Publications Leonid Peshkin, Joaquin Goni, Alexander Loewer, Ram S. Kolluri, Galit Lahav and Dennis Wall. Morphology from Texture in Cytometry, International Journal of Tomography & Statistics 2009; 16, Issue No. S10 |