Alkabbany I, Ali AM, Mohamed M, Elshazly SM, Farag A (2022) An AI-based colonic polyp classifier for colorectal cancer screening using low-dose abdominal CT. Sensors 22(24):9761
Article PubMed PubMed Central Google Scholar
Ismail M, Elhabian S, Farag A, Dryden G, Seow A (2012) Fully automated 3D colon segmentation for early detection of colorectal cancer based on convex formulation of the active contour model. In: IEEE CVPR Workshops, pp 58–63
Näppi J, Dachman AH, MacEneaney P, Yoshida H (2002) Automated knowledge-guided segmentation of colonic walls for computerized detection of polyps in CT colonography. J Comput Assist Tomogr 26(4):493–504
Frimmel H, Näppi J, Yoshida H (2005) Centerline-based colon segmentation for CT colonography. Med Phys 32(8):2665–2672
Franaszek M, Summers RM, Pickhardt PJ, Choi JR (2006) Hybrid segmentation of colon filled with air and opacified fluid for CT colonography. IEEE Trans Med Imaging 25(3):358–368
Gonzalez Y, Shen C, Jung H, Nguyen D, Jiang SB, Albuquerque K, Jia X (2021) Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. Med Image Anal 68:101896
Bert A, Dmitriev I, Agliozzo S, Pietrosemoli N, Mandelkern M, Gallo T, Regge D (2009) An automatic method for colon segmentation in CT colonography. Comput Med Imaging Graph 33(4):325–331
Lu L, Wolf M, Liang J, Dundar M, Bi J, Salganicoff M (2009) A two-level approach towards semantic colon segmentation: removing extra-colonic findings. In: Proceedings of MICCAI, pp 1009–1017
Losnegård A, Hysing LB, Muren LP, Hodneland E, Lundervold A (2010) Semi-automated segmentation of the sigmoid and descending colon for radiotherapy planning using the fast marching method. Phys Med Biol 55(18):5569
Chowdhury TA, Whelan PF (2011) A fast and accurate method for automatic segmentation of colons at CT colonography based on colon geometrical features. In: Proceedings of Irish MVIP, pp 94–100
Manjunath KN, Prabhu GK, Siddalingaswamy PC (2020) A quantitative validation of segmented colon in virtual colonoscopy using image moments. Biomed J 43(1):74–82
Article CAS PubMed PubMed Central Google Scholar
Lu L, Zhao J (2011) An automatic method for colon segmentation in virtual colonoscopy. In: Proceedings of IEEE BMEI, pp 105–108
Gayathri Devi K, Radhakrishnan R (2015) Automatic segmentation of colon in 3D CT images and removal of opacified fluid using cascade feed forward neural network. Comput Math Methods Med 2015(1):670739
CAS PubMed PubMed Central Google Scholar
Yang X, Ye X, Slabaugh G (2014) Multilabel region classification and semantic linking for colon segmentation in CT colonography. IEEE Trans Biomed Eng 62(3):948–959
Wasserthal J, Breit H, Meyer MT, Pradella M, Hinck D, Sauter AW, Heye T, Boll DT, Cyriac J, Yang S, Bach M, Segeroth M (2023) Totalsegmentator: robust segmentation of 104 anatomic structures in CT images. Radiol Artif Intell 5(5):1–9
Ouyang C, Biffi C, Chen C, Kart T, Qiu H, Rueckert D (2020) Self-supervision with superpixels: training few-shot medical image segmentation without annotation. In: Proceedings of ECCV, pp 762–780
Wu H, Xiao F, Liang C (2022) Dual contrastive learning with anatomical auxiliary supervision for few-shot medical image segmentation. In: Proceedings of ECCV, pp 417–434
Yousuf M, Harb S, Alkabbany I, Ali A, Elshazly S, Farag A (2024) Colorectal polyps detection in virtual colonoscopy using 3D geometric features and deep learning. In: Proceedings of IEEE ISBI, pp 1–4
Felzenszwalb PF, Huttenlocher DP (2004) Efficient graph-based image segmentation. Int J Comput Vision 59(2):167–181
Roya AG, Siddiqui S, Pölsterl S, Navab N, Wachinger C (2020) Squeeze & excite guided few-shot segmentation of volumetric images. Med Image Anal 59:101587
Zhang X, Wei Y, Yang Y, Huang TS (2020) SG-ONE: similarity guidance network for one-shot semantic segmentation. IEEE Trans Cybern 50(9):3855–3865
Ronneberger O, Fischer P, Brox T (2015) U-net: convolutional networks for biomedical image segmentation. In: Proceedings of MICCAI, pp 234–241
Arbelle A, Raviv TR (2019) Microscopy cell segmentation via convolutional LSTM networks. In: Proceedings of ISBI, pp 1008–1012
Shamshad F, Khan S, Zamir SW, Khan MH, Hayat M, Khan FS, Fu H (2023) Transformers in medical imaging: a survey. Med Image Anal 88:102802
Chen L-C, Zhu Y, Papandreou G, Schroff F, Adam H (2018) Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of ECCV, pp 801–818
留言 (0)