title: An integrated framework for automatic Ki-67 scoring in pancreatic neuroendocrine tumor.
abstract: The Ki-67 labeling index is a valid and important biomarker to gauge neuroendocrine tumor cell progression. Automatic Ki-67 assessment is very challenging due to complex variations of cell characteristics. In this paper, we propose an integrated learning-based framework for accurate Ki-67 scoring in pancreatic neuroendocrine tumor. The main contributions of our method are: a novel and robust cell detection algorithm is designed to localize both tumor and non-tumor cells; a repulsive deformable model is applied to correct touching cell segmentation; a two stage learning-based scheme combining cellular features and regional structure information is proposed to differentiate tumor from non-tumor cells (such as lymphocytes); an integrated automatic framework is developed to accurately assess the Ki-67 labeling index. The proposed method has been extensively evaluated on 101 tissue microarray (TMA) whole discs, and the cell detection performance is comparable to manual annotations. The automatic Ki-67 score is very accurate compared with pathologists' estimation.
authors: Division of Biomedical Informatics, Department of Biostatistics, University of Kentucky, KY 40506, USA.
authors: Fuyong
authors: F
authors: Xing
authors: Division of Biomedical Informatics, Department of Biostatistics, University of Kentucky, KY 40506, USA.
authors: Hai
authors: H
authors: Su
authors: Division of Biomedical Informatics, Department of Biostatistics, University of Kentucky, KY 40506, USA.
authors: Lin
authors: L
authors: Yang
mesh_terms: D001185:Artificial Intelligence; D014408:Biomarkers, Tumor / Q000378:metabolism*; D001706:Biopsy / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D018358:Neuroendocrine Tumors / Q000175:diagnosis* / Q000378:metabolism; D010190:Pancreatic Neoplasms / Q000175:diagnosis* / Q000378:metabolism; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018511:Systems Integration
chemical_list: D014408:Biomarkers, Tumor