An Ensemble Convolutional Neural Networks for Detection of Growth Anomalies in Children with X-ray Images

H. Sarabi Sarvarani; F. Abdali-Mohammadi

Volume 10, Issue 4 , November 2022, , Pages 479-492

https://doi.org/10.22044/jadm.2022.11752.2323

Abstract
  Bone age assessment is a method that is constantly used for investigating growth abnormalities, endocrine gland treatment, and pediatric syndromes. Since the advent of digital imaging, for several decades the bone age assessment has been performed by visually examining the ossification of the left hand, ...  Read More

A New Learning-based Spatiotemporal Descriptor for Online Symbol Recognition

M. Sepahvand; F. Abdali-Mohammadi

Volume 10, Issue 1 , January 2022, , Pages 75-86

https://doi.org/10.22044/jadm.2022.11150.2262

Abstract
  The success of handwriting recognition methods based on digitizer-pen signal processing is mostly dependent on the defined features. Strong and discriminating feature descriptors can play the main role in improving the accuracy of pattern recognition. Moreover, most recognition studies utilize local ...  Read More

H.5. Image Processing and Computer Vision
Automatic Optic Disc Center and Boundary Detection in Color Fundus Images

F. Abdali-Mohammadi; A. Poorshamam

Volume 6, Issue 1 , March 2018, , Pages 35-46

https://doi.org/10.22044/jadm.2017.967

Abstract
  Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are ...  Read More