Bodypart Recognition Using Multi-stage Deep Learning

• Published in: Information processing in medical imaging : proceedings of the ... conference Vol. 24; p. 449
• Main Authors: Yan, Zhennan, Zhan, Yiqiang, Peng, Zhigang, Liao, Shu, Shinagawa, Yoshihisa, Metaxas, Dimitris N, Zhou, Xiang Sean
• Format: Journal Article
• Language: English
• Published: Germany 2015
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Artificial Intelligence; Child; Child, Preschool; Female; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Infant; Male; Middle Aged; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed - methods; Whole Body Imaging - methods; Young Adult
• ISSN: 1011-2499

Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition". This problem has its unique character...