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Background
Despite using a variety of path‐finding algorithms that use tracts, the most significant advancement in this study is considering the values of all brain areas by doing atlas‐based segmentation for a more precise search. Our motivation comes from the literature’s shortcomings in designing and implementing path‐planning methods. Since planning paths with curvatures is a complex problem...
Prostate cancer is one of the most frequent cancers among men. Abdominal ultrasound scans are very practical alternatives to more precise but inconvenient transrectal ultrasound scans for the diagnosis and treatment of prostate cancer. However, detection of the prostate region alone is very difficult for the abdominal ultrasound images. This paper uses a prostate detection method that models the abdominal...
Prostate cancer is one of the most frequent cancers among men. Abdominal ultrasound imaging is a very practical alternative to more precise but inconvenient transrectal ultrasound imaging for the diagnosis and treatment of prostate cancer. However, detection of the prostate region alone is very difficult for the abdominal ultrasound images. This paper presents a new prostate detection method that...
This paper presents a novel method for the automated diagnosis of the degenerative intervertebral disc disease in midsagittal MR images. The approach is based on combining distinct disc features under a machine learning framework. The discs in the lumbar MR images are first localized and segmented. Then, intensity, shape, context, and texture features of the discs are extracted with various techniques...
Desiccation is the drying out of the fluids in the lumbar intervertebral discs and it may cause many health problems. In clinical practice, MR imaging is used for diagnosis because in T2-weighted MR images the desiccated discs are darker than non-desiccated discs. In this study, we present a method for automatically detecting desiccated lumbar intervertebral discs from MR images. First, the lumbar...
Aim of this study is to localize intervertebral discs from MR images. The study implements a system that uses HOG-SVM based method which was used in previous studies. In addition to this, the study uses projection method to obtain better results. Intensity values of MR images can vary from sample to sample. HOG features provide better results by using gradient values instead of using pure intensity...
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