Development of Computer-Aided Diagnosis Algorithm of Lung Nodule from Computed Tomography Images
Keywords:
ก้อนในปอด; มะเร็งปอด; คอมพิวเตอร์ช่วยวินิจฉัย;, ฐานข้อมูลภาพเอกซเรย์ปอด; การแบ่งส่วนภาพปอด, Lung nodule; lung cancer; Computer-Aided Diagnosis; Lung Image Database Consortium; lung segmentationAbstract
Background and Objective: The early pulmonary nodule detection can be helpful for timely therapeutic intervention of lung cancer. The digital image processing of radiography for lung nodule detection is necessary to provide a second opinion to assist radiologists’ image reading.
Methods: We have developed a Computer-aided diagnosis (CAD) algorithm for lung nodule detection in order to detect lung cancer in computed tomography images. Image database, which is obtained from the Lung Image Database Consortium, consists of 120 cases with ³ 5 mm in diameter nodule. The Digital image processing of CAD algorithm consists of modules for lung segmentation, image enhancement of lung nodule and feature extraction with morphological operation.
Results: The shape analysis is a key technique for lung nodule detection. The CAD system achieved a sensitivity of 93% and false positive rate of 3.52.
Conclusions: The CAD system for lung nodule detection can be useful to help physician acquiring diagnostic information and improve clinical decisions.
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