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pro vyhledávání: '"77"'
Autor:
Alexis V. Nees, Jing Cui, Chintana Paramagul, Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, Heang Ping Chan, Jiazheng Shi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Segmentation of masses is the first step in most computer-aided diagnosis (CAD) systems for characterization of breast masses as malignant or benign. In this study, we designed an automated method for segmentation of masses on ultrasound (US) images.
Publikováno v:
SPIE Proceedings.
Image compression has been used to increase the communication efficiency and storage capacity. JPEG 2000 compression, based on the wavelet transformation, has its advantages comparing to other compression methods, such as ROI coding, error resilience
Autor:
Meng Joo Er, Wei Keat Lim
Publikováno v:
Medical Imaging: Image Processing
In this paper, computer-aided classification of mammographic masses using generalized dynamic fuzzy neural networks (GDFNN) is presented. The texture parameters, derived from first-order gradient distribution and gray-level co-occurrence matrices (GC
Autor:
Metin N. Gurcan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Lubomir M. Hadjiiski, Heang Ping Chan
Publikováno v:
Medical Imaging: Image Processing
We are developing new techniques to improve the accuracy of computerized microcalcification detection by using the joint two-view information on craniocaudal (CC) and mediolateral-oblique (MLO) views. After cluster candidates were detected using a si