… the medical images under examination, input of the images … and gravity center of each carpal
bone. A polar coordinate … flooding, with the automatic determination of appropriate markers …

… Elimination of two user involvement in the methods described, ie, the contour initialization
which was placed around the middle of the images and the carpal bone extraction from its …

… have been based on image feature extraction from a region … RUS and carpal bone to determine
an independent score. … of medical images is required to use medical images effectively; …

… an image feature extraction technique based on image seg- … is to automatically segment and
classify carpal bones from hands … X-ray carpal-bone image boundary feature analysis using …

… related to each medical image domain by combining these … In this paper, a specific region
whose X-ray image only … than that of predicted masking in each carpal bone (all p < 0.001), …

… In medical image and computer vision examination, image … bones in X-ray image and
developing a fully automated image … On the contrary, the length of the 4th carpal bone is usually …

… results of the proposed method using X-ray images of the hands of 140 subjects. In Sec…
Carpal bone segmentation using fully convolutional neural network,” Current Medical Imaging …

… over a large dataset of 1100 X-ray images, achieving promising results. In particular, the
approach is based on content image retrieval concepts, and feature extraction is carried out by …

… Automatic segmentation of hand bone X-ray images is an important process in … X-ray
images of teenagers' hands. Half of the X-ray images were obtained from the medical imaging …

… [9] also developed an automated method for age estimation … Feature extraction is performed
using the ResNeXt architecture. It … a cardinality of 32 for feature extraction as shown in Fig. 7 …