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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Volume 6, 2018 - Issue 3: 1st MICCAI workshop on Deep Learning in Medical Image Analysis
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Original Articles

Convolutional networks for kidney segmentation in contrast-enhanced CT scans

William ThongDepartment of Computer and Software Engineering, Polytechnique Montréal, Montreal, Canada.Correspondence[email protected]
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,
Samuel KadouryDepartment of Computer and Software Engineering, Polytechnique Montréal, Montreal, Canada.View further author information
,
Nicolas PichéObject Research Systems (ORS), Montreal, Canada.View further author information
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Christopher J. PalDepartment of Computer and Software Engineering, Polytechnique Montréal, Montreal, Canada.View further author information
Pages 277-282 | Received 13 Nov 2015, Accepted 27 Jan 2016, Published online: 28 Apr 2016

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Zhongjian Ju, Qingnan Wu, Wei Yang, Shanshan Gu, Wen Guo, Jinyuan Wang, Ruigang Ge, Hong Quan, Jie Liu & Baolin Qu. (2020) Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples. Acta Oncologica 59:8, pages 933-939.
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Articles from other publishers (44)

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Abubaker Abdelrahman & Serestina Viriri. (2023) EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images. Frontiers in Computer Science 5.
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Mohit Pandey & Abhishek Gupta. (2022) Tumorous kidney segmentation in abdominal CT images using active contour and 3D-UNet. Irish Journal of Medical Science (1971 -) 192:3, pages 1401-1409.
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Valarmathi N, Bavya S, Deepika p, Dharani L & Hemalatha P. (2023) Deep Learning Model for Automated Kidney Stone Detection using VGG16. Deep Learning Model for Automated Kidney Stone Detection using VGG16.
Haoyang Cui, Yiyi Ma, Ming Yang, Yang Lu, Mingzi Zhang, Lili Fu, Chicheng Fu, Beilin Su, Chuan He, Cheng Xue, Changlin Mei & Shuwei Song. (2023) Automatic Segmentation of Kidney Volume Using Multi-Module Hybrid Based U-Shape in Polycystic Kidney Disease. IEEE Access 11, pages 58113-58124.
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Kajal Rai & Pawan Kumar. 2023. Proceedings of International Conference on Computational Intelligence. Proceedings of International Conference on Computational Intelligence 223 233 .
Yewon Ji, Hyunwoo Cho, Seungyeob Seon, Kichang Lee & Hakyoung Yoon. (2022) A deep learning model for CT-based kidney volume determination in dogs and normal reference definition. Frontiers in Veterinary Science 9.
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Jiazhe Wang, Yoshie Osamu & Koichi Shimizu. (2022) TRC-Unet: Transformer Connections for Near-infrared Blurred Image Segmentation. TRC-Unet: Transformer Connections for Near-infrared Blurred Image Segmentation.
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Yi Ding, Zhiran Chen, Ziqi Wang, Xiaohong Wang, Desheng Hu, Pingping Ma, Chi Ma, Wei Wei, Xiangbin Li, Xudong Xue & Xiao Wang. (2022) Three‐dimensional deep neural network for automatic delineation of cervical cancer in planning computed tomography images. Journal of Applied Clinical Medical Physics 23:4.
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Peng Sun, Zengnan Mo, Fangrong Hu, Fang Liu, Taiping Mo, Yewei Zhang & Zhencheng Chen. (2022) Kidney Tumor Segmentation Based on FR2PAttU-Net Model. Frontiers in Oncology 12.
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Ehwa Yang, Chan Kyo Kim, Yi Guan, Bang-Bon Koo & Jae-Hun Kim. (2022) 3D multi-scale residual fully convolutional neural network for segmentation of extremely large-sized kidney tumor. Computer Methods and Programs in Biomedicine 215, pages 106616.
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Abubaker Abdelrahman & Serestina Viriri. (2022) Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art. Journal of Imaging 8:3, pages 55.
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Fazle Rabbi, Sajjad Rahmani Dabbagh, Pelin Angin, Ali Kemal Yetisen & Savas Tasoglu. (2022) Deep Learning-Enabled Technologies for Bioimage Analysis. Micromachines 13:2, pages 260.
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Panagiotis Korfiatis, Aleksandar Denic, Marie E. Edwards, Adriana V. Gregory, Darryl E. Wright, Aidan Mullan, Joshua Augustine, Andrew D. Rule & Timothy L. Kline. (2022) Automated Segmentation of Kidney Cortex and Medulla in CT Images: A Multisite Evaluation Study. Journal of the American Society of Nephrology 33:2, pages 420-430.
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Abhuday Tripathi & Amit Goel. (2021) A Survey on Exploring Deep Learning in Medical Image Processing. A Survey on Exploring Deep Learning in Medical Image Processing.
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Shubhajit Panda, Mahesh Jangid & Ashish Jain. (2021) A Comprehensive Review on the Significance and Impact of Deep Learning in Medical Image Analysis. A Comprehensive Review on the Significance and Impact of Deep Learning in Medical Image Analysis.
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Sitanaboina S L Parvathi & Harikiran Jonnadula. (2021) A Comprehensive Survey on Medical Image Blob Detection and Classification Models. A Comprehensive Survey on Medical Image Blob Detection and Classification Models.
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Mithun Kumar Kar, Malaya Kumar Nath & Debanga Raj Neog. (2021) A Review on Progress in Semantic Image Segmentation and Its Application to Medical Images. SN Computer Science 2:5.
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Ananya Singha, Rini Smita Thakur & Tushar Patel. 2021. Biomedical Data Mining for Information Retrieval. Biomedical Data Mining for Information Retrieval 293 350 .
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Jialin Shi, Xiaofeng Ding, Xien Liu, Yan Li, Wei Liang & Ji Wu. (2021) Automatic clinical target volume delineation for cervical cancer in CT images using deep learning. Medical Physics 48:7, pages 3968-3981.
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Mohammad Arafat Hussain, Ghassan Hamarneh & Rafeef Garbi. (2021) Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. IEEE Transactions on Medical Imaging 40:6, pages 1555-1567.
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Israa Alnazer, Pascal Bourdon, Thierry Urruty, Omar Falou, Mohamad Khalil, Ahmad Shahin & Christine Fernandez-Maloigne. (2021) Recent advances in medical image processing for the evaluation of chronic kidney disease. Medical Image Analysis 69, pages 101960.
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Juanjuan He, Song Xiang & Ziqi Zhu. (2020) A deep fully residual convolutional neural network for segmentation in EM images. International Journal of Wavelets, Multiresolution and Information Processing 18:03, pages 2050007.
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Amir Baghdadi, Naif A. Aldhaam, Ahmed S. Elsayed, Ahmed A. Hussein, Lora A. Cavuoto, Eric Kauffman & Khurshid A. Guru. (2020) Automated differentiation of benign renal oncocytoma and chromophobe renal cell carcinoma on computed tomography using deep learning. BJU International 125:4, pages 553-560.
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Eric Heim, Tobias Roß, Alexander Seitel, Keno März, Bram Stieltjes, Matthias Eisenmann, Johannes Lebert, Jasmin Metzger & Gregor Sommer. (2018) Large-scale medical image annotation with crowd-powered algorithms. Journal of Medical Imaging 5:03, pages 1.
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Neta Blau, Eyal Klang, Nahum Kiryati, Marianne Amitai, Orith Portnoy & Arnaldo Mayer. (2018) Fully automatic detection of renal cysts in abdominal CT scans. International Journal of Computer Assisted Radiology and Surgery.
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Naveen Ashish & Mi-Youn Brusniak. (2018) Automated Mouse Organ Segmentation. Automated Mouse Organ Segmentation.
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