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Publications by Clay D. Spence
Mammographic Mass Detection With a Hierarchical Image Probability (HIP) Model
Related publications
A New and Fast Image Feature Selection Method for Developing an Optimal Mammographic Mass Detection Scheme
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Computing Mammographic Density From a Multiple Regression Model Constructed With Image-Acquisition Parameters From a Full-Field Digital Mammographic Unit
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Automatic Application Level Set Approach in Detection Calcifications in Mammographic Image
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Image Resampling Effects in Mammographic Image Simulation
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Fast Image Registration by Hierarchical Soft Correspondence Detection
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Probability of Detection Model for Pipeline Inspection
A Generalizable Hierarchical Bayesian Model for Persistent SAR Change Detection
Management Problems in Mammographic Mass Screening.
Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening)
Sonar Image Segmentation Using an Unsupervised Hierarchical MRF Model
IEEE Transactions on Image Processing
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