From Individual Hand Bone Age Estimates to Fully Automated Age Estimation via Learning-Based Information Fusion

Darko Stern, Martin Urschler

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Increasingly important for both clinical and forensic medicine, radiological age estimation is performed by fusing independent bone age estimates from hand images. In this work, we show that the artificial separation into bone independent age estimates as used in established fusion techniques can be overcome. Thus, we treat aging as a global developmental process, by implicitly fusing developmental information from different bones in a dedicated regression algorithm. With 0.82 ± 0.56 years absolute deviation from chronological age on a database of 132 3D MR hand images, the results of this novel automatic algorithm are inline with radiologists performing visual examinations.
Original languageEnglish
Title of host publication2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
Publication statusPublished - May 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) - Prague, Czech Republic
Duration: 13 Apr 201616 Apr 2016


Conference2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Country/TerritoryCzech Republic

Fields of Expertise

  • Information, Communication & Computing

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