Automatic method for bone age assessment based on combined method

Mansourvar, Marjan; Kareem, Sameem Abdul; Ismail, Maizatul Akmar; Nasaruddin, Fariza Hanum

doi:10.1109/iccoins.2014.6868424

Cited by 4 publications

(1 citation statement)

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“…Due to insufficient training data large error was obtained between standard G&P number and authors' modified G&P number. In 2014, Mansorvar [75] proposed combined method of hand-wrist and clavicle. The research used a questionnaire on quantitative and qualitative methods to collect the data to understand the main issues concerning BAA and mentioned that manual methods are time consuming and observations are subjective.…”

Section: ) Iris Examinationmentioning

confidence: 99%

Features and Methods of Human Age Estimation: Opportunities and Challenges in Medical Image Processing

Patil¹

2021

TURCOMAT

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Age estimation of living species is an open and interesting problem due to its medico-legal importance and humans are no exception to this. Human body undergoes various physiological changes such as facial wrinkles, walking habits. Besides this, biological changes also help in human age estimation. Some of the changes are body skeleton and craniofacial growth. Various age estimation methods viz. manual, semi-automated and automated methods are available. Each of these methods has their merits and demerits. The popular manual and semi-automated age estimation methods are prone to human observation error and need sophisticated equipments. The advent of computational methods has opened new possibilities towards automation of the problem. Hence there is growing interest in fully automated methods. Through this paper, we have discussed different aspects of human age estimation and presented a brief review of various available methods.

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Section: ) Iris Examinationmentioning

confidence: 99%