Conference proceeding
Computer Assisted Detection and Analysis of Tall Cell Variant Papillary Thyroid Carcinoma in Histological Images
MEDICAL IMAGING 2015: DIGITAL PATHOLOGY, v 9420, pp 94200A-94200A-8
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Computer Assisted Detection and Analysis of Tall Cell Variant Papillary Thyroid Carcinoma in Histological Images
- Creators
- Edward Kim - Villanova UniversityZubair Baloch - University of PennsylvaniaCaroline Kim - University of Pennsylvania
- Contributors
- M N Gurcan (Editor)A Madabhushi (Editor)
- Publication Details
- MEDICAL IMAGING 2015: DIGITAL PATHOLOGY, v 9420, pp 94200A-94200A-8
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000354372500008
- Scopus ID
- 2-s2.0-84932108236
- Other Identifier
- 991021884588404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Optics
- Radiology, Nuclear Medicine & Medical Imaging