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Statistical 3D prostate imaging atlas construction via anatomically constrained registration., , , , , , , и . Medical Imaging: Image Processing, том 8669 из SPIE Proceedings, стр. 866913. SPIE, (2013)Image Processing and Pre-Processing for Medical Ultrasound., и . AIPR, стр. 187-192. IEEE Computer Society, (2000)Advanced ultrasonic tissue-typing and imaging based on radio-frequency spectrum analysis and neural-network classification for guidance of therapy and biopsy procedures., , , , , , , , , и . CARS, том 1230 из International Congress Series, стр. 346-351. Elsevier, (2001)Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes., , , , , , , , и . IEEE Trans. Biomed. Eng., 64 (7): 1579-1591 (2017)Real-time medical image processing.. Proc. IEEE, 73 (4): 846-847 (1985)Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation., , , , , и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 90343Y. SPIE, (2014)Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric., , , , и . Medical Imaging: Image-Guided Procedures, том 8671 из SPIE Proceedings, стр. 86710A. SPIE, (2013)Classification of prostate tissue using neural networks., , , , , и . IJCNN, стр. 3569-3572. IEEE, (1999)Ultrasonic spectrum analysis for tissue evaluation., , , и . Pattern Recognit. Lett., 24 (4-5): 637-658 (2003)Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy., , , , , , , и . ISBI, стр. 1110-1113. IEEE, (2015)