Literature DB >> 7956164

Segmenting radiographs of the hand and wrist.

G K Manos1, A Y Cairns, I W Rickets, D Sinclair.   

Abstract

The work presented in this paper concerns the development of computer-based techniques for the segmentation of hand-wrist radiographs and in particular those obtained for the TW2 method for the assessment of skeletal maturity (bone age). The segmentation method is based on the concept of regions and it consists of region growing and region merging stages. A bone extraction stage follows, which labels regions as either bone or background using heuristic rules based on the grey level properties of the scene. Finally, a technique is proposed for the segmentation of bone outlines which helps in identifying conjugated bones.

Mesh:

Year:  1994        PMID: 7956164     DOI: 10.1016/0169-2607(94)90074-4

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Automatic Segmentation for Favourable Delineation of Ten Wrist Bones on Wrist Radiographs Using Convolutional Neural Network.

Authors:  Bo-Kyeong Kang; Yelin Han; Jaehoon Oh; Jongwoo Lim; Jongbin Ryu; Myeong Seong Yoon; Juncheol Lee; Soorack Ryu
Journal:  J Pers Med       Date:  2022-05-11

2.  DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs.

Authors:  Xuedong Wang; Yanle Liu; Xinyao Miao; Yin Chen; Xiao Cao; Yuchen Zhang; Shuaicheng Li; Qin Zhou
Journal:  BMC Bioinformatics       Date:  2022-10-14       Impact factor: 3.307

3.  A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images.

Authors:  Rebecca Smith; Kayvan Najarian; Kevin Ward
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-03       Impact factor: 2.796

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.