A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions

Algorithms

Greg Slabaugh¹  Xiaoyun Yang²  Xujiong Ye²  Richard Boyes² 

[1] Medicsight PLC, 66 Hammersmith Road, London, W14 8UD, UK;

关键词: CAD;    colorectal lesion detection;    pattern recognition;   

DOI  :  10.3390/a3010021

来源: mdpi

【 摘 要 】

We present a complete, end-to-end computer-aided detection (CAD) system for identifying lesions in the colon, imaged with computed tomography (CT). This system includes facilities for colon segmentation, candidate generation, feature analysis, and classification. The algorithms have been designed to offer robust performance to variation in image data and patient preparation. By utilizing efficient 2D and 3D processing, software optimizations, multi-threading, feature selection, and an optimized cascade classifier, the CAD system quickly determines a set of detection marks. The colon CAD system has been validated on the largest set of data to date, and demonstrates excellent performance, in terms of its high sensitivity, low false positive rate, and computational efficiency.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.