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Review of Current Radiation Risk Models as Related to Medical Imaging
Published in Lawrence T. Dauer, Bae P. Chu, Pat B. Zanzonico, Dose, Benefit, and Risk in Medical Imaging, 2018
Studies have been carried out on a number of other groups receiving medical exposures. These include radiation therapy of the spine for treatment of ankylosing spondylitis, which created an excess of leukemia and other neoplasms in irradiated tissues (Weiss et al. 1995; Smith 2007). For breast cancer, data from seven cohorts in North America and Western Europe were used by the ICRP in addition to the LSS for estimating risks, since baseline rates of breast cancer in Japan are very low (Little and Boise 1999; Preston et al. 2002). These include women treated with radiotherapy for acute post-partum mastitis and chronic breast diseases and women receiving multiple chest fluoroscopic examinations in the course of therapy for tuberculosis in Massachusetts and Canada (Boice et al. 1991). For thyroid cancer, data from four populations exposed during medical treatment in various countries have been pooled (Ron et al. 1995). These include treatments in Israel of young patients with tinea capitis by irradiation of the scalp, irradiation of infants with enlarged thymus glands, and treatments with X-rays for enlarged tonsils or lymphoid hyperplasia. Follow-up after the Chernobyl accident has provided additional information on the effects of thyroid exposure to radioiodine (UNSCEAR 2011; WHO 2005). The incidence of thyroid cancer in children under 15 years increased rapidly at an earlier stage than in the LSS, among highly exposed groups in neighboring countries. The highest thyroid doses occurred in rural Belarus where 25,000 children aged 0–7 received a mean thyroid dose of 3.1 Gy.
Artificial intelligence (AI) based system for the diagnosis and classification of scalp health: AI-ScalpGrader
Published in Instrumentation Science & Technology, 2023
Jeong-Il Jeong, Dong-Soon Park, Ji-Eun Koo, Woo-Sang Song, Duck-Jin Pae, Hwa-Jung Choi
The analysis of scalp microscopy images differs among physiotherapists and the conventional techniques for scalp treatment have complicated diagnosis.[8] Some recent studies have focused on scalp conditions.[9–11] Microscopy is a useful device for monitoring scalp conditions.[12] Trichoscopy is dermoscopy to diagnose scalp diseases such as tinea capitis and alopecia areata.[13] A scalp analysis system equipped with a web camera and a microscope has been employed to assess scalp conditions.[14] A new system based upon AI computing was developed for intelligent scalp detection with machine learning and deep learning techniques.[15] Here is reported an alternative technology to automatically and systemically diagnose scalp conditions.