An Advanced Lung Disease Diagnosis Using Transfer Learning Method for High-Resolution Computed Tomography (HRCT) Images

Abstract

In the past decades, medical image technologies have been rapidly growing. The x-rays, ultrasound (US), MRI scan, and CT scan are the pulmonary techniques to examine human diseases, and CT techniques have more resolution images than other techniques. HRCT is another advanced technology derived from the CT family and working in 3D to capture the images. High-resolution computed tomography techniques are used to examine all humankind's problems like heart, brain, breast, lung, kidney, etc. The diagnosis accuracy depends on expert doctors, radiologists, or pathologists, and wrong judgment leads to wrong treatment or diagnosis. To overcome this, a computer-based technology is introduced instead of manual operation because of its higher efficiency, accuracy, and achieved by transfer learning methods.