招待解説論文
肺結節自動検出処理におけるディープラーニング応用
2017 年 34 巻 2 号 p. 54-56
詳細
2017 年 34 巻 2 号 p. 54-56
Our research group develops an automated method of lung nodule detection in PET/CT images by means of deep learning technique. This review article describes the outline of our study as one application of the deep learning for medical image processing. In the proposed method, initial nodule candidates are detected by nodule enhancement and thresholding techniques. Regarding to the false positive reduction method, both conventional shape / metabolic features and deep convolutional neural network are employed. As a result of performance evaluation, proposed method had the better false positive reduction performance than that of conventional method.
