Data grid for large-scale medical image archive and analysis

Huang, H. K.; Zhang, Aifeng; Liu, Brent; Zhou, Zheng; Documet, Jorge; King, Nelson; Chan, Lawrence

doi:10.1145/1101149.1101357

Cited by 28 publications

(11 citation statements)

References 6 publications

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“…All subjects (age range, 1 day to 18 years) were recruited from public schools in Los Angeles County, California, starting in the late 1990s (9)(10)(11)(12)(13)(14)(15).…”

Section: Subject Recruitmentmentioning

confidence: 99%

Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age

Zhang

Sayre²,

Vachon³

et al. 2009

Radiology

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151

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“…All subjects (age range, 1 day to 18 years) were recruited from public schools in Los Angeles County, California, starting in the late 1990s (9)(10)(11)(12)(13)(14)(15).…”

Section: Subject Recruitmentmentioning

confidence: 99%

Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age

Zhang

Sayre²,

Vachon³

et al. 2009

Radiology

Self Cite

151

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“…Age distribution for these subjects is illustrated in Table 1. This online dataset consists of four populations which are Asian, Hispanic, African American and Caucasian and has been used for many case studies such as in [15][16][17][18]. The dataset comprises of individuals below 20 years old without any record of bone problem or bone disease, for instance fractures, osteoarthritis, rheumatoid arthritis, bone cancer or other problems associated with genetic.…”

Section: Research Methods 21 Research Materialsmentioning

confidence: 99%

Random forest age estimation model based on length of left hand bone for Asian population

Darmawan¹,

Abidin²,

Kasim³

et al. 2020

IJECE

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In forensic anthropology, age estimation is used to ease the process of identifying the age of a living being or the body of a deceased person. Nonetheless, the specialty of the estimation models is solely suitable to a specific people. Commonly, the models are inter and intra-observer variability as the qualitative set of data is being used which results the estimation of age to rely on forensic experts. This study proposes an age estimation model by using length of bone in left hand of Asian subjects range from newborn up to 18-year-old. One soft computing model, which is Random Forest (RF) is used to develop the estimation model and the results are compared with Artificial Neural Network (ANN) and Support Vector Machine (SVM), developed in the previous case studies. The performance measurement used in this study and the previous case study are R-square and Mean Square Error (MSE) value. Based on the results produced, the RF model shows comparable results with the ANN and SVM model. For male subjects, the performance of the RF model is better than ANN, however less ideal than SVM model. As for female subjects, the RF model overperfoms both ANN and SVM model. Overall, the RF model is the most suitable model in estimating age for female subjects compared to ANN and SVM model, however for male subjects, RF model is the second best model compared to the both models. Yet, the application of this model is restricted only to experimental purpose or forensic practice.

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“…10 Huang et al presented a data grid developed on the top of Globus Toolkit, that implements computational services for image analysis and data mining, considering backup and recovery methods. 11 The Globus MEDICUS is one of the first ad-hoc solutions to create a bridge between the DICOM domain and the grid domain using Globus Toolkit. MEDICUS includes a module called DGIS (DICOM Grid Interface Service) that mainly aims to transparently store images from DICOM devices on distributed grid nodes, using a combination of a DICOM gateway and the Grid-FTP service of Globus Toolkit.…”

Section: Related Workmentioning

confidence: 99%

Grid platform for medical federated queries supporting semantic and visual annotations

et al. 2015

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Data grid for large-scale medical image archive and analysis

Cited by 28 publications

References 6 publications

Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age

Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age

Random forest age estimation model based on length of left hand bone for Asian population

Grid platform for medical federated queries supporting semantic and visual annotations

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