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A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images.

, , , , , and . ISBI, page 372-375. IEEE, (2015)

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Statistical 3D prostate imaging atlas construction via anatomically constrained registration., , , , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866913. SPIE, (2013)Image Processing and Pre-Processing for Medical Ultrasound., and . AIPR, page 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., , , , , , , , , and . CARS, volume 1230 of International Congress Series, page 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., , , , , , , , and . IEEE Trans. Biomed. Eng., 64 (7): 1579-1591 (2017)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)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)Classification of prostate tissue using neural networks., , , , , and . IJCNN, page 3569-3572. IEEE, (1999)A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images., , , , , and . ISBI, page 372-375. IEEE, (2015)Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy., , , , , , , and . ISBI, page 1110-1113. IEEE, (2015)