A survey on artificial intelligence techniques for biomedical image analysis in skeleton-based forensic human identification

P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega - Applied Sciences, 2020 - mdpi.com
This paper represents the first survey on the application of AI techniques for the analysis of
biomedical images with forensic human identification purposes. Human identification is of …

Automated bone age assessment: motivation, taxonomies, and challenges

M Mansourvar, MA Ismail, T Herawan… - … methods in medicine, 2013 - Wiley Online Library
Bone age assessment (BAA) of unknown people is one of the most important topics in
clinical procedure for evaluation of biological maturity of children. BAA is performed usually …

Fully Automated Bone Age Assessment on Large‐Scale Hand X‐Ray Dataset

X Pan, Y Zhao, H Chen, D Wei… - International journal of …, 2020 - Wiley Online Library
Bone age assessment (BAA) is an essential topic in the clinical practice of evaluating the
biological maturity of children. Because the manual method is time‐consuming and prone to …

Faster region-convolutional neural network oriented feature learning with optimal trained recurrent neural network for bone age assessment for pediatrics

S Deshmukh, A Khaparde - Biomedical Signal Processing and Control, 2022 - Elsevier
This paper tactics to develop the novel Tanner-Whitehouse 3 (TW3)-based automated Bone
Age Assessment (BAA) model for children with the assistance of Faster Region …

The applicability of Greulich and Pyle atlas to assess skeletal age for four ethnic groups

M Mansourvar, MA Ismail, RG Raj, SA Kareem… - Journal of forensic and …, 2014 - Elsevier
Background Recently, determination of skeletal age, defined as the assessment of bone
age, has rapidly become an important task between forensic experts and radiologists. The …

Improved particle swarm optimisation to estimate bone age

M Sabeti, R Boostani, B Davoodi - IET Image Processing, 2018 - Wiley Online Library
This paper automatizes the process of bone age maturity assessment by applying three
versions of particle swarm optimization (PSO) along with image processing methods to the …

An automated system for skeletal maturity assessment by extreme learning machines

M Mansourvar, S Shamshirband, RG Raj, R Gunalan… - PloS one, 2015 - journals.plos.org
Assessing skeletal age is a subjective and tedious examination process. Hence, automated
assessment methods have been developed to replace manual evaluation in medical …

骨龄自动化评估的研究进展

占梦军, 张世杰, 陈虎 - 法医学杂志, 2020 - fyxzz.cn
骨龄是反映人体生长发育的一项重要指标, 能够较为客观地反映个体生长发育水平及成熟度.
传统的人工骨龄评估通常是将左手腕X 线片与参考标准进行比较, 从而获得相应的骨龄值 …

Segmentation of Epiphysis Region-of-Interest (EROI) using texture analysis and clustering method for hand bone age assessment

B Rajitha, S Agarwal - Multimedia Tools and Applications, 2022 - Springer
Abstract Human hand Bone Age Assessment (BAA) is commonly used by paediatrics for
diagnosing the childś health, crime investigation, dead human identification (in case of …

Automatic Enhancement Of Digital Images Using Cubic Bé zier Curve And Fourier Transformation

K Asghar, G Gilanie, M Saddique… - Malaysian Journal of …, 2017 - ojie.um.edu.my
Image enhancement is one of the most important and visually appealing areas of digital
image processing and computer vision. It is considered as a very important part of pre …