Efficient and Robust Cell Detection: A Structured Regression Approach

Manual analysis of microscopy images is not only laborious and expensive but is also inclined to suffer from inter-observer variabilities. Recent progress  (Gurcan et al., 2009) shows that digitized specimen analysis can significantly improve the objectivity and reproducibility of computer-aided diagnosis (CAD). In the context of microscopy image analysis-based CAD, automatic and robust cell detection are highly desirable and serve as an essential prerequisite for a wide variety of subsequent tasks, such as cell segmentation, tracking and morphological measurements Veta et al.

Source: Medical Image Analysis - July 26, 2017 Category: Radiology Authors: Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang Source Type: research