Computer assisted detection and analysis of tall cell variant papillary thyroid carcinoma in histological images

Edward Kim; Zubair Baloch; Caroline Kim

doi:10.1117/12.2082156

19 March 2015 Computer assisted detection and analysis of tall cell variant papillary thyroid carcinoma in histological images

Edward Kim, Zubair Baloch, Caroline Kim

Author Affiliations +

Proceedings Volume 9420, Medical Imaging 2015: Digital Pathology; 94200A (2015) https://doi.org/10.1117/12.2082156
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

The number of new cases of thyroid cancer are dramatically increasing as incidences of this cancer have more than doubled since the early 1970s. Tall cell variant (TCV-PTC) papillary thyroid carcinoma is one type of thyroid cancer that is more aggressive and usually associated with higher local recurrence and distant metastasis. This variant can be identified through visual characteristics of cells in histological images. Thus, we created a fully automatic algorithm that is able to segment cells using a multi-stage approach. Our method learns the statistical characteristics of nuclei and cells during the segmentation process and utilizes this information for a more accurate result. Furthermore, we are able to analyze the detected regions and extract characteristic cell data that can be used to assist in clinical diagnosis.

Citation Download Citation

Edward Kim, Zubair Baloch, and Caroline Kim "Computer assisted detection and analysis of tall cell variant papillary thyroid carcinoma in histological images", Proc. SPIE 9420, Medical Imaging 2015: Digital Pathology, 94200A (19 March 2015); https://doi.org/10.1117/12.2082156

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