Computer assisted grading schema for Follicular Lymphoma based on level set formulation

In this research paper we are focusing on development of computer-assisted scheme for Follicular Lymphoma (FL) for improvising grading scheme. Since Centro-blast enumeration needs to be performed in malignant follicles, the development of an automated system to accurately identifyfollicles on digital images of lymphoid tissue is an important step. In this paper we describe a novel approach to identify follicles from H&E stained tissue sections with formulating a local energy, and later globalize it with neighborhood method for segmenting entire tissue section and classified them accordingly with artificial intelligence.We have outperformed the previous iterative watershed segmentation and classification approaches.