Deep learning in sex estimation from knee radiographs – A proof-of-concept study utilizing the Terry Anatomical Collection
Tài liệu tham khảo
Krishan, 2016, A review of sex estimation techniques during examination of skeletal remains in forensic anthropology casework, Forensic Sci. Int., 261, e1, 10.1016/j.forsciint.2016.02.007
Dirkmaat, 2008, New perspectives in forensic anthropology, Am. J. Phys. Anthropol., 137, 33, 10.1002/ajpa.20948
Goodfellow, 1988, Genetics of sex determination in man and mouse, Development, 102, 251, 10.1242/dev.102.2.251
Franklin, 2010, Forensic age estimation in human skeletal remains: current concepts and future directions, Leg. Med. (Tokyo), 12, 1, 10.1016/j.legalmed.2009.09.001
W. Krogman, The Human Skeleton In Forensic Medicine, Charles C Thomas, Springfield, 1962.
Seeman, 2001, Clinical review 137: Sexual dimorphism in skeletal size, density, and strength, J. Clin. Endocrinol. Metab., 86, 4576, 10.1210/jcem.86.10.7960
Spradley, 2011, Sex estimation in forensic anthropology: skull versus postcranial elements, J. Forensic Sci., 56, 289, 10.1111/j.1556-4029.2010.01635.x
Maijanen, 2021, Sex estimation from knee breadth dimensions in a Finnish population, Leg. Med. (Tokyo), 51, 10.1016/j.legalmed.2021.101873
Steyn, 1997, Sex determination from the femur and tibia in South African whites, Forensic Sci. Int., 90, 111, 10.1016/S0379-0738(97)00156-4
Alunni-Perret, 2008, Sex determination from the distal part of the femur in a French contemporary population, Forensic Sci. Int., 175, 113, 10.1016/j.forsciint.2007.05.018
Gulhan, 2015, A new computer-tomography-based method of sex estimation: development of Turkish population-specific standards, Forensic Sci. Int., 255, 2, 10.1016/j.forsciint.2015.07.015
Chiba, 2018, Sex estimation based on femoral measurements using multidetector computed tomography in cadavers in modern Japan, Forensic Sci. Int., 292, 262.e1, 10.1016/j.forsciint.2018.09.027
Yaşar İşcan, 1984, Discriminant function sexing of the Tibia, J. Forensic Sci., 29, 11775J, 10.1520/JFS11775J
Šlaus, 2013, Sex determination by discriminant function analysis of the tibia for contemporary Croats, Forensic Sci. Int., 226, e1
Kranioti, 2014, Sexual dimorphism of the tibia in contemporary Greeks, Italians, and Spanish: forensic implications, Int. J. Leg. Med., 129, 357, 10.1007/s00414-014-1045-6
Ekizoglu, 2016, Sex estimation of the tibia in modern Turkish: a computed tomography study, Leg. Med. (Tokyo), 23, 89, 10.1016/j.legalmed.2016.10.004
E.K. Kranioti, J.G. García-Donas, P.S. Almeida Prado, X.P. Kyriakou, H.C. Langstaff, Sexual dimorphism of the tibia in contemporary Greek-Cypriots and Cretans: Forensic applications, Forensic Sci. Int. 271 (2017) 129.e1–129.e7, doi: 10.1016/J.FORSCIINT.2016.11.018.
Holland, 1991, Sex assessment using the proximal tibia, Am. J. Phys. Anthropol., 85, 221, 10.1002/ajpa.1330850210
M. Jun Zhan, C. Lin Li, F. Fan, K. Zhang, Y. Jiu Chen, Z. Hua Deng, Estimation of sex based on patella measurements in a contemporary Chinese population using multidetector computed tomography: an automatic measurement method, Leg. Med. (Tokyo) 47 (2020), doi: 10.1016/J.LEGALMED.2020.101778.
S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, fourth edition, Pearson, Hoboken, 2021.
Hosny, 2018, Artificial intelligence in radiology, Nat. Rev. Cancer, 18, 500, 10.1038/s41568-018-0016-5
LeCun, 2015, Deep learning, Nature, 521, 436, 10.1038/nature14539
Kräter, 2021, AIDeveloper: deep learning image classification in life science and beyond, Adv. Sci., 8, 2003743, 10.1002/advs.202003743
Toy, 2022, A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium, Sci. Rep., 12, 10.1038/s41598-022-07415-w
Yang, 2019, Sex determination of three-dimensional skull based on improved backpropagation neural network, Comput. Math. Methods Med., 2019, 9163547, 10.1155/2019/9163547
Bewes, 2019, Artificial intelligence for sex determination of skeletal remains: application of a deep learning artificial neural network to human skulls, J. Forensic Leg. Med., 62, 40, 10.1016/j.jflm.2019.01.004
Yi, 2021, Radiology “forensics”: determination of age and sex from chest radiographs using deep learning, Emerg. Radiol., 28, 949, 10.1007/s10140-021-01953-y
Z. Xue, S. Antani, L.R. Long, G.R. Thoma, Using deep learning for detecting gender in adult chest radiographs, in: Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, Vol. 10579, 2018, pp. 74–82, doi: 10.1117/12.2293027.
Oner, 2019, Sex estimation using sternum part lengths by means of artificial neural networks, Forensic Sci. Int., 301, 6, 10.1016/j.forsciint.2019.05.011
Cao, 2021, A potential method for sex estimation of human skeletons using deep learning and three-dimensional surface scanning, Int. J. Leg. Med., 135, 2409, 10.1007/s00414-021-02675-z
Li, 2022, A fully automated sex estimation for proximal femur X-ray images through deep learning detection and classification, Leg. Med. (Tokyo), 57, 10.1016/j.legalmed.2022.102056
Hunt, 2005, History and demographic composition of the Robert J. Terry anatomical collection, Am. J. Phys. Anthropol., 127, 406, 10.1002/ajpa.20135
D. Machin, M. Campbell, S. Walters, Medical Statistics, Fourth Edition - A Textbook for the Health Sciences, John Wiley & Sons, Hoboken, 2007.
A. Keisu, P. Oura, M. Niskanen, C.B. Ruff, J. Niinimäki, T. Arvola, J. Auvinen, J. Tuukkanen, P. Lehenkari, J.A. Junno, The association between knee breadth and body mass: The Northern Finland Birth Cohort 1966 case study, Am. J. Phys. Anthropol. 170 (2019) 196–206, doi: 10.1002/AJPA.23905.
Junno, 2022, Accelerometer-measured physical activity is associated with knee breadth in middle-aged Finns - a population-based study, BMC Musculoskelet. Disord., 23, 517, 10.1186/s12891-022-05475-7
Junno, 2022, Gravidity, parity and knee breadth at midlife: a population-based cohort study, Sci. Rep., 12, 12415, 10.1038/s41598-022-16231-1
Srikanth, 2005, A meta-analysis of sex differences prevalence, incidence and severity of osteoarthritis, Osteoarthritis Cartilage, 13, 769, 10.1016/j.joca.2005.04.014