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Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation and meniscus tears were performed on 10 different knee MR images in the 3-D DESS standard obtained on the sagittal plane. The morphological operations used in image processing...
Nowadays computer-aided medical systems has become widespread. These systems assist the scientists in the medical field with diagnosis and treatment. In the same vein, in this study detection of medial meniscus from MR images of the knee is performed automatically. Knee MR images used in this study were obtained from Osteoarthritis initiative. 75% of MR images were used for training, while the remainder...
This paper presents a voxel-classification-driven region-growing algorithm for automatically segmenting the whole femoral, tibial, and patellar cartilage tissues in high-field magnetic resonance (MR) images of the knee joint by taking into consideration systems with limited resources in particular. An abundance of background voxels and high dimensionality of the voxel samples were alleviated via various...
The purpose of this study is to segment the humeral head from two dimentional proton dansity(PD) magnetic resonance images (MRI) of shoulder. MRI studies of patients presenting with shoulder pain may demonstrate bone marrow edema and different degrees of contour changes. Computerised tomography(CT) and T1 weighted MR images demonstrate bone margins better. T2 or PD weighted images are poor in determining...
Fingerspelling is a manual representation of alphabet letters and used in sign language to spell out words, especially private names. In Turkish Sign Language it is a challenging task due to the ambiguity of the fingerspelling representations of the letters with diacritic marks and complex hand configurations. In this paper we propose a Turkish fingerspelling recognition system based on extraction...
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