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دانلود رایکان مقاله انگلیسی ISI با موضوع تشخیص تومور مغز در تصاویر سه عدی MRI با استفاده از الگوهای دوتایی موضعی

عنوان فارسی مقاله:

تشخیص تومور مغز در تصاویر سه عدی MRI با استفاده از الگوهای دوتایی موضعی و هیستوگرام گرادیان چرخشی

عنوان انگلیسی مقاله:

Detection of Brain Tumor in 3D MRI Images using Local Binary Patterns and Histogram Orientation Gradient

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بخشی از مقاله انگلیسی :

2. Materials and Methods

Brain tumor pathology is one of the most common mortality issues considered as an essential priority for health care societies. Thus accurate diagnosis of the type of disorder is very necessary to make a plan for remedy that can minimize the deadly results. Accurate results can be obtained by computer with the help of automatic systems. In medical imaging the image segmentation is used to diagnose the disease and study the tumor growth.

2.1 . Pre-processing

The raw MRI images usually include artifacts such as uneven brightness and additional tissues (e.g. skull, eyes, etc.) which reduce the accuracy of the results. One of the major issues in medical imaging is noise and finding a technique to reduce it. Signal to noise ratio is a measure that compares the level of the desired signal to the level of background noise. Image noise occurs when the signal to noise ratio is relatively low. Noise elimination in the image is a standard method for pre-processing. Diaz et al. [33] investigate different methods for noise removal of brain tumor segmentation. They conclude that these methods reduce the noise in the image; however, they negatively affect the image segmentation in most cases because they destroy the details of the required structures in the image.