Downgrading BIRADS 3 to BIRADS 2 category using a computer-aided microcalcification analysis and risk assessment system for early breast cancer
暂无分享,去创建一个
Konstantina S. Nikita | Ioannis Andreadis | George M. Spyrou | Panos A. Ligomenides | Argyro Antaraki | Georgia Giannakopoulou | Dimitra Koulocheri | Flora Zagouri | Afroditi Nonni | George M. Filippakis | George C. Zografos | K. Nikita | P. Ligomenides | G. Spyrou | I. Andreadis | G. Zografos | F. Zagouri | A. Nonni | D. Koulocheri | G. Giannakopoulou | A. Antaraki | G. Filippakis
[1] I. Ellis,et al. Mammographic features of ductal carcinoma in situ (DCIS) present on previous mammography. , 1999, Clinical radiology.
[2] Dimitrios I. Fotiadis,et al. Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines , 2005, Artif. Intell. Medicine.
[3] Wendy Bruening,et al. Computer-aided detection mammography for breast cancer screening: systematic review and meta-analysis , 2009, Archives of Gynecology and Obstetrics.
[4] Adler Dd,et al. Mammographic biopsy recommendations. , 1992 .
[5] Paul Taylor,et al. Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate. , 2008, European journal of cancer.
[6] E. Sickles. Periodic mammographic follow-up of probably benign lesions: results in 3,184 consecutive cases. , 1991, Radiology.
[7] Antonis Frigas,et al. Evaluation of a Breast Cancer Computer Aided Diagnosis System , 2006, MIE.
[8] S. Fields,et al. Computerized evaluation of mammographic lesions: what diagnostic role does the shape of the individual microcalcifications play compared with the geometry of the cluster? , 2004, AJR. American journal of roentgenology.
[9] C. D'Orsi,et al. Influence of computer-aided detection on performance of screening mammography. , 2007, The New England journal of medicine.
[10] Rachel F Brem,et al. Improvement in sensitivity of screening mammography with computer-aided detection: a multiinstitutional trial. , 2003, AJR. American journal of roentgenology.
[11] Rachel F Brem,et al. Lobular neoplasia at percutaneous breast biopsy: variables associated with carcinoma at surgical excision. , 2008, AJR. American journal of roentgenology.
[12] N. Petrick,et al. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. , 1998, Medical physics.
[13] Ansgar Malich,et al. Are unnecessary follow-up procedures induced by computer-aided diagnosis (CAD) in mammography? Comparison of mammographic diagnosis with and without use of CAD. , 2004, European journal of radiology.
[14] E. S. de Paredes,et al. Missed breast carcinoma: pitfalls and pearls. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.
[15] S. Obenauer,et al. Applications and literature review of the BI-RADS classification , 2005, European Radiology.
[16] I Leichter,et al. The use of an interactive software program for quantitative characterization of microcalcifications on digitized film-screen mammograms. , 1999, Investigative radiology.
[17] Karla Kerlikowske,et al. Evaluation of Abnormal Mammography Results and Palpable Breast Abnormalities , 2003, Annals of Internal Medicine.
[18] M. Giger,et al. Malignant and benign clustered microcalcifications: automated feature analysis and classification. , 1996, Radiology.
[19] D. Kopans. The positive predictive value of mammography. , 1992, AJR. American journal of roentgenology.
[20] S. Astley,et al. Computer-aided detection in mammography. , 2004, Clinical radiology.
[21] Chein-I Chang,et al. A computer-aided design mammography screening system for detection and classification of microcalcifications , 2000, Int. J. Medical Informatics.
[22] C Kimme-Smith,et al. Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes. , 1996, Medical physics.
[23] S. Destounis,et al. Appropriate role of core breast biopsy in the management of probably benign lesions. , 1994, Radiology.
[24] Ross D. Shachter,et al. Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience. , 2006, Radiology.
[25] X. Varas,et al. Nonpalpable, probably benign lesions: role of follow-up mammography. , 1992, Radiology.
[26] J. Goo,et al. Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists , 2004, Korean journal of radiology.
[27] H. S. Sheshadri,et al. Computer aided decision system for early detection of breast cancer. , 2006, The Indian journal of medical research.
[28] Mary Scott Soo,et al. Computer-aided detection of amorphous calcifications. , 2005, AJR. American journal of roentgenology.
[29] M. Giger. Computerized analysis of images in the detection and diagnosis of breast cancer. , 2004, Seminars in ultrasound, CT, and MR.
[30] Catherine Balu-Maestro,et al. Quand se méfier des résultats des micro et macrobiopsies guidées mammaires , 2006 .
[31] K. Doi,et al. Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms. , 2004, Medical physics.
[32] Priscilla J Slanetz,et al. Prospective assessment of computer-aided detection in interpretation of screening mammography. , 2006, AJR. American journal of roentgenology.
[33] A. Malich,et al. CAD for mammography: the technique, results, current role and further developments , 2006, European Radiology.
[34] K. Kerlikowske,et al. Positive predictive value of screening mammography by age and family history of breast cancer. , 1993, JAMA.
[35] Rangaraj M. Rangayyan,et al. Application of shape analysis to mammographic calcifications , 1994, IEEE Trans. Medical Imaging.
[36] K L Lam,et al. Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network. , 1997, Physics in medicine and biology.
[37] Marios A Gavrielides,et al. Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms. , 2002, Medical physics.
[38] A. Jemal,et al. Cancer Statistics, 2008 , 2008, CA: a cancer journal for clinicians.
[39] N Roberts,et al. Segmentation and numerical analysis of microcalcifications on mammograms using mathematical morphology. , 1997, The British journal of radiology.
[40] Boris Novak,et al. Computer-aided classification of BI-RADS category 3 breast lesions. , 2004, Radiology.
[41] N. Obuchowski. Receiver operating characteristic curves and their use in radiology. , 2003, Radiology.
[42] Atam P. Dhawan,et al. Analysis of mammographic microcalcifications using gray-level image structure features , 1996, IEEE Trans. Medical Imaging.
[43] E A Sickles,et al. Appropriate role of core breast biopsy in the management of probably benign lesions. , 1993, Radiology.
[44] Antonis Frigas,et al. “Hippocrates-mst”: a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer , 2006, Medical and Biological Engineering and Computing.