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However, the incidence of breast benign diseases is about 5 to 10 times higher than breast cancer; up to 30% of women suffer from breast benign diseases and require treatment at some time in their lives. Thus, in this study, MPM was applied to image fibroadenoma and fibrocystic lesion, which are two of the most common breast benign diseases. The results show that MPM has the capability to identify the microstructure of lobule and stroma in normal breast tissue, the interaction of compressed ducts with surrounding collagen fiber in fibroadenoma, and the architecture of cysts filled with cystic fluid in fibrocystic disease. These findings indicate that, with integration of MPM into currently accepted clinical imaging system, it has the potential to make a real-time diagnosis of breast benign diseases in vivo, as well as breast cancer.<\/jats:p>","DOI":"10.1155\/2018\/3697063","type":"journal-article","created":{"date-parts":[[2018,4,17]],"date-time":"2018-04-17T19:31:44Z","timestamp":1523993504000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Identifying Two Common Types of Breast Benign Diseases Based on Multiphoton Microscopy"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0504-4198","authenticated-orcid":true,"given":"Yan","family":"Wu","sequence":"first","affiliation":[{"name":"Mathematics and Physics Institute, Fujian University of Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, Fujian 350118, 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