Diagnosis of hepatic tumors with texture analysis in nonenhanced computed tomography images.

[1]  Hang Joon Kim,et al.  Support Vector Machines for Texture Classification , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Kunio Doi,et al.  Computer-aided diagnosis in chest radiography , 2007, Comput. Medical Imaging Graph..

[3]  Yan-Da Li,et al.  Identifying splicing sites in eukaryotic RNA: support vector machine approach , 2003, Comput. Biol. Medicine.

[4]  K. Doi,et al.  Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.

[5]  P. S. Maclin,et al.  How to improve a neural network for early detection of hepatic cancer. , 1994, Cancer letters.

[6]  Konstantina S. Nikita,et al.  A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier , 2003, IEEE Transactions on Information Technology in Biomedicine.

[7]  R.M. Gray.  Image compression , 1991, [1991] Proceedings. Data Compression Conference.

[8]  S K Rogers,et al.  Artificial neural networks for early detection and diagnosis of cancer. , 1994, Cancer letters.

[9]  Yulei Jiang.  Computer-Aided Diagnosis of Breast Cancer in Mammography: Evidence and Potential , 2002, Technology in cancer research & treatment.

[10]  Maryellen L Giger,et al.  Computer-aided diagnosis in radiology. , 2002, Academic radiology.

[11]  D. Chen,et al.  Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. , 1999, Radiology.

[12]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[13]  Jinbo Bi,et al.  Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. , 2003 .

[14]  W J Kostis,et al.  Computer-aided diagnosis for lung cancer. , 2000, Radiologic clinics of North America.

[15]  Kunio Doi,et al.  Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. , 2003, Radiology.

[16]  Sholom M. Weiss,et al.  An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods , 1989, IJCAI.

[17]  Hiroyuki Yoshida,et al.  Computer-aided diagnosis for CT colonography. , 2004, Seminars in ultrasound, CT, and MR.

[18]  H. Yoshida,et al.  Wavelet-packet-based texture analysis for differentiation between benign and malignant liver tumours in ultrasound images. , 2003, Physics in medicine and biology.

[19]  Nico Karssemeijer,et al.  Computer-Aided Diagnosis in Medical Imaging , 2001, IEEE Trans. Medical Imaging.

[20]  Breast cancer imaging: the future. , 2001, Seminars in oncology.

[21]  M. Kanematsu,et al.  A case of liver metastasis from colon cancer masquerading as focal sparing in a fatty liver. , 1997, Japanese journal of clinical oncology.

[22]  D. Naidich,et al.  Computer-aided diagnosis and the evaluation of lung disease. , 2004, Journal of thoracic imaging.

[23]  Hee Chan Kim,et al.  Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features , 2004, IEEE Trans. Medical Imaging.

[24]  Ling Guan,et al.  A CAD System for the Automatic Detection of Clustered Microcalcification in Digitized Mammogram Films , 2000, IEEE Trans. Medical Imaging.

[25]  P Altmeyer,et al.  Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer‐aided analysis of data from pigmented skin lesions using digital dermoscopy , 2003, The British journal of dermatology.

[26]  Philip S. Maclin,et al.  Using an artificial neural network to diagnose hepatic masses , 2005, Journal of Medical Systems.

[27]  Nikolas P. Galatsanos,et al.  A support vector machine approach for detection of microcalcifications , 2002, IEEE Transactions on Medical Imaging.