A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
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 great relevance in today’s society and, in particular, in medico-legal contexts. As consequence, all technological...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/14/4703 |
| _version_ | 1827713513681846272 |
|---|---|
| author | Pablo Mesejo Rubén Martos Óscar Ibáñez Jorge Novo Marcos Ortega |
| author_facet | Pablo Mesejo Rubén Martos Óscar Ibáñez Jorge Novo Marcos Ortega |
| author_sort | Pablo Mesejo |
| collection | DOAJ |
| description | 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 great relevance in today’s society and, in particular, in medico-legal contexts. As consequence, all technological advances that are introduced in this field can contribute to the increasing necessity for accurate and robust tools that allow for establishing and verifying human identity. We first describe the importance and applicability of forensic anthropology in many identification scenarios. Later, we present the main trends related to the application of computer vision, machine learning and soft computing techniques to the estimation of the biological profile, the identification through comparative radiography and craniofacial superimposition, traumatism and pathology analysis, as well as facial reconstruction. The potentialities and limitations of the employed approaches are described, and we conclude with a discussion about methodological issues and future research. |
| first_indexed | 2024-03-10T18:36:59Z |
| format | Article |
| id | doaj.art-dcb8f12ea28941ddb40635d817f53ab5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T18:36:59Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-dcb8f12ea28941ddb40635d817f53ab52023-11-20T06:10:20ZengMDPI AGApplied Sciences2076-34172020-07-011014470310.3390/app10144703A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human IdentificationPablo Mesejo0Rubén Martos1Óscar Ibáñez2Jorge Novo3Marcos Ortega4Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, SpainPanacea Cooperative Research S. Coop., 24401 Ponferrada, SpainAndalusian Research Institute DaSCI, University of Granada, 18071 Granada, SpainDepartment of Computer Science and Information Technology, University of Coruña, 15011 A Coruña, SpainDepartment of Computer Science and Information Technology, University of Coruña, 15011 A Coruña, SpainThis 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 great relevance in today’s society and, in particular, in medico-legal contexts. As consequence, all technological advances that are introduced in this field can contribute to the increasing necessity for accurate and robust tools that allow for establishing and verifying human identity. We first describe the importance and applicability of forensic anthropology in many identification scenarios. Later, we present the main trends related to the application of computer vision, machine learning and soft computing techniques to the estimation of the biological profile, the identification through comparative radiography and craniofacial superimposition, traumatism and pathology analysis, as well as facial reconstruction. The potentialities and limitations of the employed approaches are described, and we conclude with a discussion about methodological issues and future research.https://www.mdpi.com/2076-3417/10/14/4703forensic medicineforensic anthropologyforensic imagingskeleton-based forensic identificationmachine learningcomputer vision |
| spellingShingle | Pablo Mesejo Rubén Martos Óscar Ibáñez Jorge Novo Marcos Ortega A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification Applied Sciences forensic medicine forensic anthropology forensic imaging skeleton-based forensic identification machine learning computer vision |
| title | A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification |
| title_full | A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification |
| title_fullStr | A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification |
| title_full_unstemmed | A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification |
| title_short | A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification |
| title_sort | survey on artificial intelligence techniques for biomedical image analysis in skeleton based forensic human identification |
| topic | forensic medicine forensic anthropology forensic imaging skeleton-based forensic identification machine learning computer vision |
| url | https://www.mdpi.com/2076-3417/10/14/4703 |
| work_keys_str_mv | AT pablomesejo asurveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT rubenmartos asurveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT oscaribanez asurveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT jorgenovo asurveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT marcosortega asurveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT pablomesejo surveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT rubenmartos surveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT oscaribanez surveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT jorgenovo surveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification AT marcosortega surveyonartificialintelligencetechniquesforbiomedicalimageanalysisinskeletonbasedforensichumanidentification |