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Journal Abstract Search
975 related items for PubMed ID: 25563244
1. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model. Gan Y, Xia Z, Xiong J, Zhao Q, Hu Y, Zhang J. Med Phys; 2015 Jan; 42(1):14-27. PubMed ID: 25563244 [Abstract] [Full Text] [Related]
2. 3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images. Pei Y, Ai X, Zha H, Xu T, Ma G. Med Phys; 2016 Sep; 43(9):5040. PubMed ID: 27587034 [Abstract] [Full Text] [Related]
3. Three-dimensional prostate segmentation using level set with shape constraint based on rotational slices for 3D end-firing TRUS guided biopsy. Qiu W, Yuan J, Ukwatta E, Tessier D, Fenster A. Med Phys; 2013 Jul; 40(7):072903. PubMed ID: 23822454 [Abstract] [Full Text] [Related]
4. Carotid plaque segmentation from three-dimensional ultrasound images by direct three-dimensional sparse field level-set optimization. Cheng J, Chen Y, Yu Y, Chiu B. Comput Biol Med; 2018 Mar 01; 94():27-40. PubMed ID: 29407996 [Abstract] [Full Text] [Related]
5. Individual tooth segmentation from CT images scanned with contacts of maxillary and mandible teeth. Xia Z, Gan Y, Chang L, Xiong J, Zhao Q. Comput Methods Programs Biomed; 2017 Jan 01; 138():1-12. PubMed ID: 27886708 [Abstract] [Full Text] [Related]
6. [A semi-automatic method for tooth segmentation in dental CT images]. Zhang F, Fan Y, Pu F, Liu Z. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Feb 01; 24(1):15-8. PubMed ID: 17333883 [Abstract] [Full Text] [Related]
7. Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN. Li Q, Chen K, Han L, Zhuang Y, Li J, Lin J. J Xray Sci Technol; 2020 Feb 01; 28(5):905-922. PubMed ID: 32986647 [Abstract] [Full Text] [Related]
8. Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder model. Chai X, van Herk M, Betgen A, Hulshof M, Bel A. Phys Med Biol; 2012 Jun 21; 57(12):3945-62. PubMed ID: 22643320 [Abstract] [Full Text] [Related]
14. Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration. Luu MH, Mai HS, Pham XL, Le QA, Le QK, Walsum TV, Le NH, Franklin D, Le VH, Moelker A, Chu DT, Trung NL. Comput Methods Programs Biomed; 2023 May 21; 233():107453. PubMed ID: 36921463 [Abstract] [Full Text] [Related]