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 …

Deep learning for automated skeletal bone age assessment in X-ray images

C Spampinato, S Palazzo, D Giordano, M Aldinucci… - Medical image …, 2017 - Elsevier
Skeletal bone age assessment is a common clinical practice to investigate endocrinology,
genetic and growth disorders in children. It is generally performed by radiological …

Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph

X Ren, T Li, X Yang, S Wang, S Ahmad… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Skeletal bone age assessment is a common clinical practice to investigate endocrinology,
and genetic and growth disorders of children. However, clinical interpretation and bone age …

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 automatic model based on se-resnet for bone age assessment

J He, D Jiang - IEEE access, 2021 - ieeexplore.ieee.org
Bone age assessment (BAA) based on hand X-ray imaging is a common clinical practice for
investigating disorders and predicting the adult height of a child. However, the traditional …

[HTML][HTML] Clinical validation of a deep learning-based hybrid (Greulich-Pyle and modified Tanner-Whitehouse) method for bone age assessment

KC Lee, KH Lee, CH Kang, KS Ahn… - Korean Journal of …, 2021 - ncbi.nlm.nih.gov
Objective To evaluate the accuracy and clinical efficacy of a hybrid Greulich-Pyle (GP) and
modified Tanner-Whitehouse (TW) artificial intelligence (AI) model for bone age assessment …

An automatic system for skeletal bone age measurement by robust processing of carpal and epiphysial/metaphysial bones

D Giordano, C Spampinato… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This paper presents an automatic system for bone age evaluation according to the clinical
method of Tanner and Whitehouse (TW2), based on the integration between two systems …

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 …

[HTML][HTML] Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning

JC Gámez-Granados, J Irurita, R Pérez, A González… - Information …, 2022 - Elsevier
Age estimation is a fundamental task in forensic anthropology for both the living and the
dead. The procedure consists of analyzing properties such as appearance, ossification …

Support vector machine classification based on correlation prototypes applied to bone age assessment

M Harmsen, B Fischer, H Schramm… - IEEE journal of …, 2012 - ieeexplore.ieee.org
Bone age assessment (BAA) on hand radiographs is a frequent and time-consuming task in
radiology. We present a method for (semi) automatic BAA which is done in several steps: 1) …