Gobert N. Lee
Orcid: 0000-0001-8330-0508
According to our database1,
Gobert N. Lee
authored at least 36 papers
between 2006 and 2021.
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Bibliography
2021
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
2019
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
IET Comput. Vis., 2018
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Deep learning and color variability in breast cancer histopathological images: a preliminary study.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
2017
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images.
Comput. Biol. Medicine, 2017
On the Feasibility of a Smartphone-based Solution to Rapid Qantitative Urinalysis using Nanomaterial Bioprobes.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017
Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
2016
Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method.
Proceedings of the Breast Imaging, 2016
Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
2015
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2012
Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2010
Proceedings of the Medical Biometrics, Second International Conference, 2010
Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach.
Proceedings of the Digital Mammography, 2010
2009
Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience.
Int. J. Comput. Assist. Radiol. Surg., 2009
2008
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs.
Comput. Methods Programs Biomed., 2008
Comput. Medical Imaging Graph., 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Classification of Benign and Malignant Masses in Ultrasound Breast Image Based on Geometric and Echo Features.
Proceedings of the Digital Mammography, 2008
2007
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007
Automated segmentation of mammary gland regions in non-contrast torso CT images based on probabilistic atlas.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007
2006
Pattern Recognit. Lett., 2006
Effect of quantization on co-occurrence matrix based texture features: An example study in mammography.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations.
Proceedings of the Digital Mammography, 2006