Gobert N. Lee

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 17

Top Topics

Fuzzy Clustering

Top Venues

Digital Mammography / IWDM

Publications

Michael Howes, Mariusz Bajger, Gobert N. Lee, Francesca Bucci, Saulo Martelli
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT. DICTA (2021)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells. BIBE (2019)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus. DICTA (2019)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. GLMI@MICCAI (2019)
Nolwenn Jegou, Franck Desaize, Gobert N. Lee, Mariusz Bajger, Oscar Acosta, Julie Leseur, Renaud de Crevoisier, Martin Caon
Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. BIBE (2019)
Mariusz Bajger, Gobert N. Lee, Martin Caon
Paediatric Liver Segmentation for Low-Contrast CT Images. DATRA/PIPPI@MICCAI (2018)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Superpixel texture analysis for classification of breast masses in dense background. IET Comput. Vis. 12 (6) (2018)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus. DICTA (2018)
Gobert N. Lee, Mariusz Bajger, Kevin Clark
Deep learning and color variability in breast cancer histopathological images: a preliminary study. IWBI (2018)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Segmentation of cervical nuclei using SLIC and pairwise regional contrast. EMBC (2018)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. IWBI (2018)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images. Comput. Biol. Medicine 85 (2017)
Shaymaa Akraa, Feng Guo, Haifeng Shen, Youhong Tang, Jimmy Li, Gobert N. Lee, Ben Zhong Tang
On the Feasibility of a Smartphone-based Solution to Rapid Qantitative Urinalysis using Nanomaterial Bioprobes. MobiQuitous (2017)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. DICTA (2017)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images. DICTA (2016)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method. Digital Mammography / IWDM (2016)
Jirí Sedlár, Mariusz Bajger, Martin Caon, Gobert N. Lee
Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging. DICTA (2016)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. DICTA (2015)
Gobert N. Lee, Mariusz Bajger
Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study. Digital Mammography / IWDM (2014)
Xi-Zhao Li, Simon Williams, Gobert N. Lee, Min Deng
Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features. ICARCV (2012)
Gobert N. Lee, Toshiaki Okada, Daisuke Fukuoka, Chisako Muramatsu, Takeshi Hara, Takako Morita, Etsuo Takada, Tokiko Endo, Hiroshi Fujita
Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach. Digital Mammography / IWDM (2010)
Hiroshi Fujita, Jane You, Qin Li, Hidetaka Arimura, Rie Tanaka, Shigeru Sanada, Noboru Niki, Gobert N. Lee, Takeshi Hara, Daisuke Fukuoka, Chisako Muramatsu, Tetsuro Katafuchi, Gen Iinuma, Mototaka Miyake, Yasuaki Arai, Noriyuki Moriyama
State-of-the-Art of Computer-Aided Detection/Diagnosis (CAD). ICMB (2010)
Yuji Ikedo, Takako Morita, Daisuke Fukuoka, Takeshi Hara, Gobert N. Lee, Hiroshi Fujita, Etsuo Takada, Tokiko Endo
Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience. Int. J. Comput. Assist. Radiol. Surg. 4 (3) (2009)
Xiangrong Zhou, Mingxu Han, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Huayue Chen, Gobert N. Lee, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi
Automated segmentation of mammary gland regions in non-contrast X-ray CT images. Comput. Medical Imaging Graph. 32 (8) (2008)
Gobert N. Lee, Daisuke Fukuoka, Yuji Ikedo, Takeshi Hara, Hiroshi Fujita, Etsuo Takada, Tokiko Endo, Takako Morita
Classification of Benign and Malignant Masses in Ultrasound Breast Image Based on Geometric and Echo Features. Digital Mammography / IWDM (2008)
Gobert N. Lee, Masayuki Kanematsu, Hiroki Kato, Hiroshi Kondo, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Hiroaki Hoshi
Unsupervised classification of cirrhotic livers using MRI data. Medical Imaging: Computer-Aided Diagnosis (2008)
Hiroshi Fujita, Yoshikazu Uchiyama, Toshiaki Nakagawa, Daisuke Fukuoka, Yuji Hatanaka, Takeshi Hara, Gobert N. Lee, Yoshinori Hayashi, Yuji Ikedo, Xin Gao, Xiangrong Zhou
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs. Comput. Methods Programs Biomed. 92 (3) (2008)
Gobert N. Lee, Yoshikazu Uchiyama, Xuejun Zhang, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroki Kato, Hiroshi Kondo, Hiroshi Fujita, Hiroaki Hoshi
Classification of cirrhotic liver in Gadolinium-enhanced MR images. Medical Imaging: Computer-Aided Diagnosis (2007)
Gobert N. Lee, Hiroshi Fujita
K-means Clustering for Classifying Unlabelled MRI Data. DICTA (2007)
Xuejun Zhang, Gobert N. Lee, Tetsuji Tajima, Teruhiko Kitagawa, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Hiroaki Hoshi, Shigeru Nawano, Kenji Shinozaki
Segmentation of liver region with tumorous tissues. Medical Imaging: Image Processing (2007)
Hiroshi Fujita, Yoshikazu Uchiyama, Toshiaki Nakagawa, Daisuke Fukuoka, Yuji Hatanaka, Takeshi Hara, Yoshinori Hayashi, Yuji Ikedo, Gobert N. Lee, Xin Gao, Xiangrong Zhou
CAD on Brain, Fundus, and Breast Images. MIMI (2007)
Xiangrong Zhou, M. Kan, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Ryujiro Yokoyama, Gobert N. Lee, Hiroaki Hoshi
Automated segmentation of mammary gland regions in non-contrast torso CT images based on probabilistic atlas. Medical Imaging: Image Processing (2007)
Gobert N. Lee, Murk J. Bottema
Significance of classification scores subsequent to feature selection. Pattern Recognit. Lett. 27 (14) (2006)
Gobert N. Lee, Murk J. Bottema, Takeshi Hara, Hiroshi Fujita
Effect of quantization on co-occurrence matrix based texture features: An example study in mammography. Medical Imaging: Image Processing (2006)
Gobert N. Lee, Takeshi Hara, Hiroshi Fujita
Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations. Digital Mammography / IWDM (2006)