These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
217 related articles for article (PubMed ID: 20305801)
1. Computer-Aided Diagnosis in Mammography Using Content-based Image Retrieval Approaches: Current Status and Future Perspectives. Zheng B Algorithms; 2009 Jun; 2(2):828-849. PubMed ID: 20305801 [TBL] [Abstract][Full Text] [Related]
2. An interactive system for computer-aided diagnosis of breast masses. Wang X; Li L; Liu W; Xu W; Lederman D; Zheng B J Digit Imaging; 2012 Oct; 25(5):570-9. PubMed ID: 22234836 [TBL] [Abstract][Full Text] [Related]
3. Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. Gundreddy RR; Tan M; Qiu Y; Cheng S; Liu H; Zheng B Med Phys; 2015 Jul; 42(7):4241-9. PubMed ID: 26133622 [TBL] [Abstract][Full Text] [Related]
4. Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer. Dhara AK; Mukhopadhyay S; Dutta A; Garg M; Khandelwal N J Digit Imaging; 2017 Feb; 30(1):63-77. PubMed ID: 27678255 [TBL] [Abstract][Full Text] [Related]
5. Optimization of reference library used in content-based medical image retrieval scheme. Park SC; Sukthankar R; Mummert L; Satyanarayanan M; Zheng B Med Phys; 2007 Nov; 34(11):4331-9. PubMed ID: 18072498 [TBL] [Abstract][Full Text] [Related]
6. Assessment of performance and reliability of computer-aided detection scheme using content-based image retrieval approach and limited reference database. Wang XH; Park SC; Zheng B J Digit Imaging; 2011 Apr; 24(2):352-9. PubMed ID: 20204448 [TBL] [Abstract][Full Text] [Related]
7. Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension. Park SC; Wang XH; Zheng B Acad Radiol; 2009 Oct; 16(10):1171-8. PubMed ID: 19524455 [TBL] [Abstract][Full Text] [Related]
8. A similarity learning approach to content-based image retrieval: application to digital mammography. El-Naqa I; Yang Y; Galatsanos NP; Nishikawa RM; Wernick MN IEEE Trans Med Imaging; 2004 Oct; 23(10):1233-44. PubMed ID: 15493691 [TBL] [Abstract][Full Text] [Related]
9. Prototypes for content-based image retrieval in clinical practice. Depeursinge A; Fischer B; Müller H; Deserno TM Open Med Inform J; 2011; 5(Suppl 1):58-72. PubMed ID: 21892374 [TBL] [Abstract][Full Text] [Related]
10. Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study. Gassner M; Barranco Garcia J; Tanadini-Lang S; Bertoldo F; Fröhlich F; Guckenberger M; Haueis S; Pelzer C; Reyes M; Schmithausen P; Simic D; Staeger R; Verardi F; Andratschke N; Adelmann A; Braun RP JMIR Dermatol; 2023 Aug; 6():e42129. PubMed ID: 37616039 [TBL] [Abstract][Full Text] [Related]
11. Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis. Welter P; Riesmeier J; Fischer B; Grouls C; Kuhl C; Deserno TM J Am Med Inform Assoc; 2011; 18(4):506-10. PubMed ID: 21672913 [TBL] [Abstract][Full Text] [Related]
12. Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM. Giger ML; Chan HP; Boone J Med Phys; 2008 Dec; 35(12):5799-820. PubMed ID: 19175137 [TBL] [Abstract][Full Text] [Related]
13. Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images. Cho HC; Hadjiiski L; Sahiner B; Chan HP; Helvie M; Paramagul C; Nees AV Med Phys; 2011 Apr; 38(4):1820-31. PubMed ID: 21626916 [TBL] [Abstract][Full Text] [Related]
14. A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. Müller H; Michoux N; Bandon D; Geissbuhler A Int J Med Inform; 2004 Feb; 73(1):1-23. PubMed ID: 15036075 [TBL] [Abstract][Full Text] [Related]
15. Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses. Rosa NA; Felipe JC; Traina AJ; Traina C; Rangayyan RM; Azevedo-Marques PM Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():406-9. PubMed ID: 19162679 [TBL] [Abstract][Full Text] [Related]
16. A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. Tan M; Pu J; Zheng B Med Phys; 2014 Aug; 41(8):081906. PubMed ID: 25086537 [TBL] [Abstract][Full Text] [Related]
17. Computer-aided classification of mammographic masses using visually sensitive image features. Wang Y; Aghaei F; Zarafshani A; Qiu Y; Qian W; Zheng B J Xray Sci Technol; 2017; 25(1):171-186. PubMed ID: 27911353 [TBL] [Abstract][Full Text] [Related]
18. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier. Liu H; Lan Y; Xu X; Song E; Hung CC Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794 [TBL] [Abstract][Full Text] [Related]
19. Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs. Banerjee I; Kurtz C; Devorah AE; Do B; Rubin DL; Beaulieu CF J Biomed Inform; 2018 Aug; 84():123-135. PubMed ID: 29981490 [TBL] [Abstract][Full Text] [Related]
20. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Doi K Comput Med Imaging Graph; 2007; 31(4-5):198-211. PubMed ID: 17349778 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]