Literature DB >> 18218503

Application of shape analysis to mammographic calcifications.

L Shen1, R M Rangayyan, J L Desautels.   

Abstract

The authors have developed a set of shape factors to measure the roughness of contours of calcifications in mammograms and for use in their classification as malignant or benign. The analysis of mammograms is performed in three stages. First, a region growing technique is used to obtain the contours of calcifications. Then, three measures of shape features, including compactness, moments, and Fourier descriptors are computed for each region. Finally, their applicability for classification is studied by using the three shape measures to form feature vectors. Classification of 143 calcifications from 18 biopsy-proven cases as benign or malignant using the three measures with the nearest-neighbor method was 100% accurate.

Year:  1994        PMID: 18218503     DOI: 10.1109/42.293919

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  19 in total

1.  A multiscale algorithm for segmenting calcifications from high-resolution mammographic specimen radiographs.

Authors:  J Näppi; P B Dean
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

2.  Retrieval boosted computer-aided diagnosis of clustered microcalcifications for breast cancer.

Authors:  Hao Jing; Yongyi Yang; Robert M Nishikawa
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

3.  Computerized segmentation method for individual calcifications within clustered microcalcifications while maintaining their shapes on magnification mammograms.

Authors:  Akiyoshi Hizukuri; Ryohei Nakayama; Nobuo Nakako; Hiroharu Kawanaka; Haruhiko Takase; Koji Yamamoto; Shinji Tsuruoka
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

4.  Adaptive learning for relevance feedback: application to digital mammography.

Authors:  Jung Hun Oh; Yongyi Yang; Issam El Naqa
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

5.  Fractal analysis of contours of breast masses in mammograms.

Authors:  Rangaraj M Rangayyan; Thanh M Nguyen
Journal:  J Digit Imaging       Date:  2007-09       Impact factor: 4.056

6.  Bilateral analysis based false positive reduction for computer-aided mass detection.

Authors:  Yi-Ta Wu; Jun Wei; Lubomir M Hadjiiski; Berkman Sahiner; Chuan Zhou; Jun Ge; Jiazheng Shi; Yiheng Zhang; Heang-Ping Chan
Journal:  Med Phys       Date:  2007-08       Impact factor: 4.071

7.  Characterization of mammographic masses based on level set segmentation with new image features and patient information.

Authors:  Jiazheng Shi; Berkman Sahiner; Heang-Ping Chan; Jun Ge; Lubomir Hadjiiski; Mark A Helvie; Alexis Nees; Yi-Ta Wu; Jun Wei; Chuan Zhou; Yiheng Zhang; Jing Cui
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

8.  A similarity study of content-based image retrieval system for breast cancer using decision tree.

Authors:  Hyun-Chong Cho; Lubomir Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Mark Helvie; Chintana Paramagul; Alexis V Nees
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

9.  An improved medical decision support system to identify the breast cancer using mammogram.

Authors:  Muthusamy Suganthi; Muthusamy Madheswaran
Journal:  J Med Syst       Date:  2010-03-10       Impact factor: 4.460

10.  "Hippocrates-mst": a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer.

Authors:  George Spyrou; Smaragda Kapsimalakou; Antonis Frigas; Konstantinos Koufopoulos; Stamatios Vassilaros; Panos Ligomenides
Journal:  Med Biol Eng Comput       Date:  2006-10-27       Impact factor: 2.602

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