title: Identification of signs of human lung damage by computer methods
title: final qualifying work of the master
titleType: Subtitle
title: ÐÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹ Ð»ÐµÐ³ÐºÐ¸Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÐ¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸
Creators: name: Ð¨Ð°ÑÐ¸Ð°ÑÐ¸, Ð¤Ð°ÑÐ¸Ð´Ð¾Ð´Ð´Ð¸Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ (CAD)
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð°Ñ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ñ Ð»ÐµÐ³ÐºÐ¸Ñ
ÑÐ°Ðº Ð»ÐµÐ³ÐºÐ¸Ñ
COVID-19
Ð¾ÑÐµÐº Ð»ÐµÐ³ÐºÐ¸Ñ

description: Lung cancer is one of the most critical diseases globally, and more than 1.6 million new patients are diagnosed with this disease every year. Therefore, early detection of lung cancer is essential, and excessive detecting delay in or triggering lung cancer cases could cause the patient's affliction, and this fact can explain the timely implementation and effectiveness of diagnostic and therapeutic procedures. Since December 2019, Coronavirus Disease 2019 (COVID-19) emerged in Wuhan City, China, and quickly spread worldwide, causing panic around the world. To prevent the spread of the virus with a rapid diagnosis of patients, an automatic COVID-19 diagnosis system is needed to detect the disease in its early stages. This thesis introduces and evaluates the performance of new Computer-Aided Detection systems (CADs), which help diagnose lung diseases, including COVID-19 and lung cancer. Computer processing of CT scans to help diagnose lung cancer involves the following steps: medical image acquisition, pre-processing of medical images, segmentation, false-positive reduction. In lung cancer-related methods, three segmentation methods and one automatic nodule detection method have been proposed. Computer methods using CT scan images can be used to help diagnose COVID-19 in several ways: segmentation , automatic detection of patients infected by COVID-19 from non-infected, detection of patients infected by COVID-19 from similar diseases such as lung edema. In COVID-19-related methods, two methods proposed for COVID-19 segmentation and two methods proposed for the automatic diagnosis of COVID-19 cases.}
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