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Diagnosis classification of brain hemorrhage

机译:脑出血的诊断和分类

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摘要

Brain Hemorrhage is a type of stroke, which occurs due to bursting of an artery in the brain, thus causing bleeding in the surrounding tissues. CT (Computed Tomography) images are used to diagnose bleeding and fractures in inner parts of the body. CT images are preferred over MRI (Magnetic Resonance Imaging) images due to wider availability, lower cost and sensitiveness to early stroke. These images are first preprocessed, performed morphological operations on and then segmented using watershed algorithm. This extracted image is given as an input to an artificial neural network for classification. It also gives information on the hemorrhage area and the hemorrhage percentage.
机译:脑出血是中风的一种,由于脑中动脉破裂而发生,因此导致周围组织出血。 CT(计算机断层扫描)图像用于诊断身体内部的出血和骨折。 CT图像比MRI(磁共振成像)图像更可取,因为它具有更广泛的可用性,较低的成本以及对早期卒中的敏感性。首先对这些图像进行预处理,对其进行形态学运算,然后使用分水岭算法对其进行分割。将该提取的图像作为输入进行人工神经网络分类。它还提供有关出血面积和出血百分比的信息。

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