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Ultrasonic spectral-parameter imaging of the prostate.

, , , , , , and . Int. J. Imaging Systems and Technology, 8 (1): 11-25 (1997)

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Ultrasonic spectral-parameter imaging of the prostate., , , , , , and . Int. J. Imaging Systems and Technology, 8 (1): 11-25 (1997)Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes., , , , , , , , and . IEEE Trans. Biomed. Eng., 64 (7): 1579-1591 (2017)Advanced ultrasonic tissue-typing and imaging based on radio-frequency spectrum analysis and neural-network classification for guidance of therapy and biopsy procedures., , , , , , , , , and . CARS, volume 1230 of International Congress Series, page 346-351. Elsevier, (2001)Statistical 3D prostate imaging atlas construction via anatomically constrained registration., , , , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866913. SPIE, (2013)Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution., , , , , and . CoRR, (2017)Image Processing and Pre-Processing for Medical Ultrasound., and . AIPR, page 187-192. IEEE Computer Society, (2000)Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric., , , , and . Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86710A. SPIE, (2013)Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation., , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90343Y. SPIE, (2014)Real-time medical image processing.. Proc. IEEE, 73 (4): 846-847 (1985)Classification of prostate tissue using neural networks., , , , , and . IJCNN, page 3569-3572. IEEE, (1999)