Advanced search
Publication Cover
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Volume 6, 2018 - Issue 1
Submit an article Journal homepage
807
Views
47
CrossRef citations to date
0
Altmetric
Original Articles

Multi-scale structured CNN with label consistency for brain MR image segmentation

Siqi BaoLo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, .Correspondence[email protected]
View further author information
&
Albert C. S. ChungLo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, .View further author information
Pages 113-117 | Received 29 Jan 2016, Accepted 20 Apr 2016, Published online: 22 Jun 2016

Citations (47)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Mohamed Baghdadi, Nacéra Benamrane, Mounir Boukadoum & Lakhdar Sais. (2023) Multi-object 3D segmentation of brain structures using a geometric deformable model with a priori knowledge. The Imaging Science Journal 0:0, pages 1-22.
Read now
Nazanin Safavian, Seyed Amir Hossein Batouli & Mohammad Ali Oghabian. (2020) An automatic level set method for hippocampus segmentation in MR images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8:4, pages 400-410.
Read now

Articles from other publishers (45)

Afifa Khaled, Jian-Jun Han, Taher A. Ghaleb & Radman Mohamed. (2022) Fully Convolutional Neural Network for Improved Brain Segmentation. Arabian Journal for Science and Engineering 48:2, pages 2133-2146.
Crossref
Afifa Khaled, Jian-Jun Han & Taher A. Ghaleb. (2022) Learning to detect boundary information for brain image segmentation. BMC Bioinformatics 23:1.
Crossref
Alexandr Meshkov, Anvar Khafizov, Alexey Buzmakov, Inna Bukreeva, Olga Junemann, Michela Fratini, Alessia Cedola, Marina Chukalina, Andrei Yamaev, Giuseppe Gigli, Fabian Wilde, Elena Longo, Victor Asadchikov, Sergey Saveliev & Dmitry Nikolaev. (2022) Deep Learning-Based Segmentation of Post-Mortem Human’s Olfactory Bulb Structures in X-ray Phase-Contrast Tomography. Tomography 8:4, pages 1854-1868.
Crossref
Nagaraj Yamanakkanavar, Jae Young Choi & Bumshik Lee. (2022) SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI Scans. Sensors 22:14, pages 5148.
Crossref
Xiang Li, Ying Wei, Chuyuan Wang, Qian Hu & Chengan Liu. (2022) Contextual-wise discriminative feature extraction and robust network learning for subcortical structure segmentation. Applied Intelligence.
Crossref
Shaikh Shiam Rahman, Hayden Wimmer & Loreen Powell. (2022) Deep Learning: An Empirical Study on Kimia Path24. Deep Learning: An Empirical Study on Kimia Path24.
Fatimah Alzubaidi, Peyman Mostaghimi, Guangyao Si, Pawel Swietojanski & Ryan T. Armstrong. (2022) Automated Rock Quality Designation Using Convolutional Neural Networks. Rock Mechanics and Rock Engineering 55:6, pages 3719-3734.
Crossref
Qi Yang, Colin B. Hansen, Leon Y. Cai, Francois Rheault, Ho Hin Lee, Shunxing Bao, Bramsh Qamar Chandio, Owen Williams, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Maxime Descoteaux, Kurt G. Schilling & Bennett A. Landman. (2022) Learning white matter subject‐specific segmentation from structural MRI. Medical Physics 49:4, pages 2502-2513.
Crossref
Camilo Laiton-Bonadiez, German Sanchez-Torres & John Branch-Bedoya. (2022) Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images. Sensors 22:7, pages 2559.
Crossref
Xianjun Wu, Wendong Huang, Xiaoli Wu, Shenghang Wu & Jinbo Huang. (2021) Classification of thermal image of clinical burn based on incremental reinforcement learning. Neural Computing and Applications 34:5, pages 3457-3470.
Crossref
Fei Song, Sanxing Zhang, Tao Lei, Yixuan Song & Zhenming Peng. (2022) MSTDSNet-CD: Multiscale Swin Transformer and Deeply Supervised Network for Change Detection of the Fast-Growing Urban Regions. IEEE Geoscience and Remote Sensing Letters 19, pages 1-5.
Crossref
Jyotismita Chaki. 2022. Brain Tumor MRI Image Segmentation Using Deep Learning Techniques. Brain Tumor MRI Image Segmentation Using Deep Learning Techniques 1 12 .
Hou-Yung Cheng, Pei-Ching Kung, Chia-Wei Hsu, Chang-Wei Huang & Nien-Ti Tsou. (2021) A Rapid Implant Generator Based on Neural Network. Multiscale Science and Engineering 3:3-4, pages 216-224.
Crossref
Haonan Hu, Xiangwei Peng, Qianxi Yang, Guangxin Li, Xing Wang, Gong Li, Jirang Sun & Kehong Yuan. (2021) A Geometry Information Enhanced Unet for Tumor Segmentation. A Geometry Information Enhanced Unet for Tumor Segmentation.
W. Huizinga, D. H. J. Poot, E. J. Vinke, F. Wenzel, E. E. Bron, N. Toussaint, C. Ledig, H. Vrooman, M. A. Ikram, W. J. Niessen, M. W. Vernooij & S. Klein. (2021) Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. Frontiers in Big Data 4.
Crossref
Jiao-Song Long, Guang-Zhi Ma, En-Min Song & Ren-Chao Jin. (2021) Learning U-Net Based Multi-Scale Features in Encoding-Decoding for MR Image Brain Tissue Segmentation. Sensors 21:9, pages 3232.
Crossref
Hernán Chaves, Francisco Dorr, Martín Elías Costa, María Mercedes Serra, Diego Fernández Slezak, Mauricio F. Farez, Gustavo Sevlever, Paulina Yañez & Claudia Cejas. (2021) Brain volumes quantification from MRI in healthy controls: Assessing correlation, agreement and robustness of a convolutional neural network-based software against FreeSurfer, CAT12 and FSL. Journal of Neuroradiology 48:3, pages 147-156.
Crossref
Champakamala Sundar Rao & K. Karunakara. (2021) A comprehensive review on brain tumor segmentation and classification of MRI images. Multimedia Tools and Applications 80:12, pages 17611-17643.
Crossref
Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang & Mingxia Liu. (2021) Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE Journal of Biomedical and Health Informatics 25:2, pages 514-525.
Crossref
Félix Renard, Soulaimane Guedria, Noel De Palma & Nicolas Vuillerme. (2020) Variability and reproducibility in deep learning for medical image segmentation. Scientific Reports 10:1.
Crossref
Yunlong Yu, Xianzhi Li & Fuxian Liu. (2020) E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution. IEEE Transactions on Geoscience and Remote Sensing 58:8, pages 5503-5515.
Crossref
Nagaraj Yamanakkanavar, Jae Young Choi & Bumshik Lee. (2020) MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey. Sensors 20:11, pages 3243.
Crossref
Feng-Ping An & Jun-e Liu. (2020) Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation. Complexity 2020, pages 1-13.
Crossref
Benjamin Thyreau & Yasuyuki Taki. (2020) Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks. Medical Image Analysis 61, pages 101639.
Crossref
乔 周. (2020) A Stock Price Prediction Model Based on Stock Charts and Deep CNN. Finance 10:04, pages 334-342.
Crossref
Nagaraj Yamanakkanavar & Bumshik Lee. (2020) Using a Patch-Wise M-Net Convolutional Neural Network for Tissue Segmentation in Brain MRI Images. IEEE Access 8, pages 120946-120958.
Crossref
Yibo Han & Zheng Zhang. (2020) Deep Learning Assisted Image Interactive Framework for Brain Image Segmentation. IEEE Access 8, pages 117028-117035.
Crossref
Afifa Khaled, Chung-Ming Own, Wenyuan Tao & Taher Ahmed Ghaleb. 2020. Web and Big Data. Web and Big Data 85 100 .
Yue Liu, Chuyuan Wang & Ying Wei. (2019) Hippocampus Segmentation in MR image based on Atlas Registration and Broad Learning. Hippocampus Segmentation in MR image based on Atlas Registration and Broad Learning.
Jinyoung Kim, Yuval Duchin, Reuben R. Shamir, Remi Patriat, Jerrold Vitek, Noam Harel & Guillermo Sapiro. (2019) Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation. Human Brain Mapping 40:2, pages 679-698.
Crossref
He Wang & Weiwei Zhang. (2019) ScaDO Net. ScaDO Net.
Jinyong Zhan, Jue Wang, Zhifei Ben, Haidong Ruan & Saijun Chen. (2019) Recognition of Angiographic Atherosclerotic Plaque Development Based on Deep Learning. IEEE Access 7, pages 170807-170819.
Crossref
Xiang Li, Ying Wei, Yunlong Zhou & Bin Hong. (2019) Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding. IEEE Access 7, pages 149785-149796.
Crossref
Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang & Kehong Yuan. (2019) Effects of Differential Geometry Parameters on Grid Generation and Segmentation of MRI Brain Image. IEEE Access 7, pages 68529-68539.
Crossref
Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Zhanyu Wang, Jirang Sun, Weiling Zhao, Xiaobo Zhou & Kehong Yuan. (2019) A New Framework to Reduce Doctor’s Workload for Medical Image Annotation. IEEE Access 7, pages 107097-107104.
Crossref
Yue Liu, Ying Wei & Chuyuan Wang. (2019) Subcortical Brain Segmentation Based on Atlas Registration and Linearized Kernel Sparse Representative Classifier. IEEE Access 7, pages 31547-31557.
Crossref
Hafsa Moontari Ali, M. Shamim Kaiser & Mufti Mahmud. 2019. Brain Informatics. Brain Informatics 136 146 .
Sui Paul Ang, Son Lam Phung, Mark Matthias Schira, Abdesselam Bouzerdoum & Soan Thi Minh Duong. (2018) Human Brain Tissue Segmentation in fMRI using Deep Long-Term Recurrent Convolutional Network. Human Brain Tissue Segmentation in fMRI using Deep Long-Term Recurrent Convolutional Network.
Hosung Kim, Benoit Caldairou, Andrea Bernasconi & Neda Bernasconi. (2018) Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Frontiers in Neuroinformatics 12.
Crossref
Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke & Pingkun Yan. (2018) Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. Complexity 2018, pages 1-10.
Crossref
Beibei Hou, Guixia Kang, Ningbo Zhang & Chuan Hu. (2018) Robust 3D Convolutional Neural Network With Boundary Correction for Accurate Brain Tissue Segmentation. IEEE Access 6, pages 75471-75481.
Crossref
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin & Bradley J. Erickson. (2017) Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. Journal of Digital Imaging 30:4, pages 449-459.
Crossref
Raghav Mehta, Aabhas Majumdar & Jayanthi Sivaswamy. (2017) BrainSegNet: a convolutional neural network architecture for automated segmentation of human brain structures. Journal of Medical Imaging 4:2, pages 024003.
Crossref
Raghav Mehta & Jayanthi Sivaswamy. (2017) M-net: A Convolutional Neural Network for deep brain structure segmentation. M-net: A Convolutional Neural Network for deep brain structure segmentation.
Jeremy Kawahara & Ghassan Hamarneh. 2016. Machine Learning in Medical Imaging. Machine Learning in Medical Imaging 164 171 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.