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In this paper, we discuss three aspects related to information mining in the domain of medical imaging: the target user groups (for whom), the information to mine (what), and technologies to enable mining (how). Specifically, we focus on three types of information: anatomical, physiological and pathological, and present use cases for each one of them. Furthermore, we introduce representative methods and algorithms that are effective for solving these problems. We conclude the paper by discussing some major trends in the related domains for the coming decade.<\/jats:p>","DOI":"10.1145\/2408736.2408741","type":"journal-article","created":{"date-parts":[[2012,12,11]],"date-time":"2012-12-11T13:13:42Z","timestamp":1355231622000},"page":"25-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Mining anatomical, physiological and pathological information from medical images"],"prefix":"10.1145","volume":"14","author":[{"given":"Xiang Sean","family":"Zhou","sequence":"first","affiliation":[{"name":"Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA"}]},{"given":"Yiqiang","family":"Zhan","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA"}]},{"given":"Vikas C.","family":"Raykar","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA"}]},{"given":"Gerardo","family":"Hermosillo","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA"}]},{"given":"Luca","family":"Bogoni","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA"}]},{"given":"Zhipang","family":"Peng","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA"}]}],"member":"320","published-online":{"date-parts":[[2012,12,10]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_1_1_1","DOI":"10.1161\/01.CIR.0000016175.49835.57"},{"doi-asserted-by":"publisher","key":"e_1_2_1_2_1","DOI":"10.2214\/AJR.07.2289"},{"key":"e_1_2_1_3_1","volume-title":"Screening Mammography with Computer-aided Detection: Prospective Study of 12,860 Patients in a Community Breast Center. 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