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Tumor detection in medical imaging: a Survey

机译:医学影像学中的肿瘤检测:一项调查

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A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from thesurrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of deathand responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarmingrate in the world. Great knowledge and experience on radiology are required for accurate tumor detectionin medical imaging. Automation of tumor detection is required because there might be a shortage of skilledradiologists at a time of great need. This paper reviews the processes and techniques used in detectingtumor based on medical imaging results such as mammograms, x-ray computed tomography (x-ray CT)and magnetic resonance imaging (MRI). We find that computer vision based techniques can identify tumorsalmost at an expert level in various types of medical imagery assisting in diagnosing myriad diseases.
机译:肿瘤也称为肿瘤,是异常组织中的生长,可以通过其结构与周围组织区分开。肿瘤可能导致癌症,这是导致死亡的主要原因,占全世界所有死亡人数的13%。全世界的癌症发病率正以惊人的速度增长。在医学成像中准确进行肿瘤检测需要放射学方面的丰富知识和经验。肿瘤检测的自动化是必需的,因为在迫切需要时可能缺少熟练的放射科医生。本文综述了基于医学影像学结果(如乳房X线照片,X射线计算机断层扫描(X射线CT)和磁共振成像(MRI))检测肿瘤的过程和技术。我们发现,基于计算机视觉的技术几乎可以在各种类型的医学影像中以专家水平识别肿瘤,以协助诊断多种疾病。

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