A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases

[1]  Jianwen Luo,et al.  Learning the implicit strain reconstruction in ultrasound elastography using privileged information , 2019, Medical Image Anal..

[2]  Xiabi Liu,et al.  Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT , 2019, Future Gener. Comput. Syst..

[3]  K. Park,et al.  Effective Diagnosis and Treatment through Content-Based Medical Image Retrieval (CBMIR) by Using Artificial Intelligence , 2019, Journal of clinical medicine.

[4]  Xiao Chen,et al.  Manhattan Distance-Based Adaptive 3D Transform-Domain Collaborative Filtering for Laser Speckle Imaging of Blood Flow , 2019, IEEE Transactions on Medical Imaging.

[5]  Naveen Kalra,et al.  Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval , 2018, Journal of Digital Imaging.

[6]  Golnaz Vahedi,et al.  A Cosine Similarity-Based Method to Infer Variability of Chromatin Accessibility at the Single-Cell Level , 2018, bioRxiv.

[7]  Henning Müller,et al.  Large‐scale retrieval for medical image analytics: A comprehensive review , 2018, Medical Image Anal..

[8]  Gwangil Jeon,et al.  Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform , 2018, Journal of Medical Systems.

[9]  Tao Xiang,et al.  Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Muhammad Awais,et al.  Medical image retrieval using deep convolutional neural network , 2017, Neurocomputing.

[11]  Bram van Ginneken,et al.  A survey on deep learning in medical image analysis , 2017, Medical Image Anal..

[12]  Yan Gao,et al.  A new method of content based medical image retrieval and its applications to CT imaging sign retrieval , 2017, J. Biomed. Informatics.

[13]  Xiabi Liu,et al.  Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases , 2017, Physics in medicine and biology.

[14]  Sidong Liu,et al.  Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging , 2016, IEEE Transactions on Biomedical Engineering.

[15]  A. Jemal,et al.  Cancer statistics, 2016 , 2016, CA: a cancer journal for clinicians.

[16]  Ricardo da Silva Torres,et al.  Mid-level image representations for real-time heart view plane classification of echocardiograms , 2015, Comput. Biol. Medicine.

[17]  A. Jemal,et al.  Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.

[18]  Li Song,et al.  Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization , 2015, IEEE Journal of Biomedical and Health Informatics.

[19]  Xiabi Liu,et al.  The LISS—A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education , 2015, IEEE Transactions on Biomedical Engineering.

[20]  Elena Deza,et al.  Encyclopedia of Distances , 2014 .

[21]  Daniel L. Rubin,et al.  A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations , 2014, J. Biomed. Informatics.

[22]  Degui Xiao,et al.  Medical Image Retrieval: A Multimodal Approach , 2014, Cancer informatics.

[23]  Liana Stanescu,et al.  Automatic image annotation and semantic based image retrieval for medical domain , 2013, Neurocomputing.

[24]  Emad Fatemizadeh,et al.  An implementation of a CBIR system based on SVM learning scheme , 2013, Journal of medical engineering & technology.

[25]  Qianjin Feng,et al.  Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images , 2012, Journal of Digital Imaging.

[26]  Otman A. Basir,et al.  Semantic Image Retrieval in Magnetic Resonance Brain Volumes , 2012, IEEE Transactions on Information Technology in Biomedicine.

[27]  ByoungChul Ko,et al.  Automatic medical image annotation and keyword-based image retrieval using relevance feedback , 2012, Journal of Digital Imaging.

[28]  Masahiro Endo,et al.  Content-based image-retrieval system in chest computed tomography for a solitary pulmonary nodule: method and preliminary experiments , 2012, International Journal of Computer Assisted Radiology and Surgery.

[29]  Yue Li,et al.  Mammogram retrieval through machine learning within BI-RADS standards , 2011, J. Biomed. Informatics.

[30]  Fabio A. González,et al.  Content-based histopathology image retrieval using a kernel-based semantic annotation framework , 2011, J. Biomed. Informatics.

[31]  George R. Thoma,et al.  A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback , 2011, IEEE Transactions on Information Technology in Biomedicine.

[32]  Berkman Sahiner,et al.  Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images. , 2011, Medical physics.

[33]  Kehong Yuan,et al.  Brain CT image database building for computer-aided diagnosis using content-based image retrieval , 2011, Inf. Process. Manag..

[34]  A. Jemal,et al.  Global Cancer Statistics , 2011 .

[35]  Arnaldo de Albuquerque Araújo,et al.  MammoSys: A content-based image retrieval system using breast density patterns , 2010, Comput. Methods Programs Biomed..

[36]  H. Greenspan,et al.  Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results. , 2010, Radiology.

[37]  Rong Jin,et al.  A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  Mohd Sapiyan Baba,et al.  MIARS: A Medical Image Retrieval System , 2010, Journal of Medical Systems.

[39]  Zhongfei Zhang,et al.  Automatic medical image annotation and retrieval , 2008, Neurocomputing.

[40]  Bipin C. Desai,et al.  Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion , 2008, Comput. Medical Imaging Graph..

[41]  Robert M. Nishikawa,et al.  Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis , 2007, 2007 IEEE International Conference on Image Processing.

[42]  Kunio Doi,et al.  Computer-aided diagnosis in medical imaging: Historical review, current status and future potential , 2007, Comput. Medical Imaging Graph..

[43]  Bipin C. Desai,et al.  A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback , 2007, IEEE Transactions on Information Technology in Biomedicine.

[44]  Nikolas P. Galatsanos,et al.  A similarity learning approach to content-based image retrieval: application to digital mammography , 2004, IEEE Transactions on Medical Imaging.

[45]  J. Koenderink.  The structure of images , 2004, Biological Cybernetics.

[46]  Christian Roux,et al.  Computer-assisted diagnosis system in digestive endoscopy , 2003, IEEE Transactions on Information Technology in Biomedicine.

[47]  Carla E. Brodley,et al.  Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[48]  Max A. Viergever,et al.  Computer-aided diagnosis in chest radiography: a survey , 2001, IEEE Transactions on Medical Imaging.

[49]  Carla E. Brodley,et al.  ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases , 1999, Comput. Vis. Image Underst..

[50]  A. Jemal,et al.  Global cancer statistics , 2011, CA: a cancer journal for clinicians.

[51]  N. Dubrawsky.  Cancer statistics , 1989, CA: a cancer journal for clinicians.