Results 21 to 30 of about 1,856,861 (309)
Radiocarbon analysis of modern skeletal remains to determine year of birth and death: a case study [PDF]
, 2015 To aid in the development of a biological profile for human remains found in Collyhurst, Manchester, England we undertook 14C analysis of tooth enamel, tooth collagen and bone collagen on behalf of Greater Manchester Police.
Ainscough, L.A.N. +2 more
core +1 more source
Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
Applied Sciences, 2022 Age prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age ...
Kamil Janczyk +4 more
doaj +1 more source
Frontiers in Endocrinology, 2023 IntroductionAutomated bone age assessment has recently become increasingly popular. The aim of this study was to assess the agreement between automated and manual evaluation of bone age using the method according to Tanner-Whitehouse (TW3) and Greulich ...
Klara Maratova +7 more
doaj +1 more source
Frontiers in Pediatrics, 2022 BackgroundThe accuracy and consistency of bone age assessments (BAA) using standard methods can vary with physicians' level of experience.MethodsTo assess the impact of information from an artificial intelligence (AI) deep learning convolutional neural ...
Xi Wang +16 more
doaj +1 more source
Adjusting bone mass for differences in projected bone area and other confounding variables: an allometric perspective. [PDF]
, 2002 The traditional method of assessing bone mineral density (BMD; given by bone mineral content [BMC] divided by projected bone area [Ap], BMD = BMC/Ap) has come under strong criticism by various authors. Their criticism being that the projected bone "area"
Alan M. Nevill +35 more
core +2 more sources
Mammalian Genome, 2016 With aging, the skeleton experiences a number of changes, which include reductions in mass and changes in matrix composition, leading to fragility and ultimately an increase of fracture risk. A number of aspects of bone physiology are controlled by genetic factors, including peak bone mass, bone shape, and composition; however, forward genetic studies ...
Douglas J, Adams +2 more
openaire +2 more sources
Diagnostics, 2020 Deep learning is a quite useful and proliferating technique of machine learning. Various applications, such as medical images analysis, medical images processing, text understanding, and speech recognition, have been using deep learning, and it has been ...
Muhammad Waqas Nadeem +5 more
doaj +1 more source
A non-synonymous coding change in the CYP19A1 gene Arg264Cys (rs700519) does not affect circulating estradiol, bone structure or fracture [PDF]
, 2011 Background The biosynthesis of estrogens from androgens is catalyzed by aromatase P450 enzyme, coded by the CYP19A1 gene on chromosome 15q21.2. Genetic variation within the CYP19A1 gene sequence has been shown to alter the function of the enzyme.
Wang, J.Z. +8 more
core +3 more sources
Clinical data and basal gonadotropins in the diagnosis of central precocious puberty in girls
Endocrine Connections, 2021 Objective: The objective of this study was to analyze whether some auxological characteristics or a single basal gonadotropin measurement will be sufficient to distinguish the prepubertal from pubertal status.
Teodoro Durá-Travé +5 more
doaj +1 more source
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks
, 2018 Skeletal bone age assessment is a common clinical practice to diagnose endocrine and metabolic disorders in child development. In this paper, we describe a fully automated deep learning approach to the problem of bone age assessment using data from ...
A Rakhlin +7 more
core +1 more source