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김한웅,김병남,이지은,장원석,유선국,Kim, HanWoong,Kim, Byeongnam,Lee, JeeEun,Jang, Won Seuk,Yoo, Sun K. 대한의용생체공학회 2017 의공학회지 Vol.38 No.5
Early detection of the pulmonary nodule is important for diagnosis and treatment of lung cancer. Recently, CT has been used as a screening tool for lung nodule detection. And, it has been reported that computer aided detection(CAD) systems can improve the accuracy of the radiologist in detection nodules on CT scan. The previous study has been proposed a method using Convolutional Neural Network(CNN) in Lung CAD system. But the proposed model has a limitation in accuracy due to its sparse layer structure. Therefore, we propose a Deep Convolutional Neural Network to overcome this limitation. The model proposed in this work is consist of 14 layers including 8 convolutional layers and 4 fully connected layers. The CNN model is trained and tested with 61,404 regions-of-interest (ROIs) patches of lung image including 39,760 nodules and 21,644 non-nodules extracted from the Lung Image Database Consortium(LIDC) dataset. We could obtain the classification accuracy of 91.79% with the CNN model presented in this work. To prevent overfitting, we trained the model with Augmented Dataset and regularization term in the cost function. With L1, L2 regularization at Training process, we obtained 92.39%, 92.52% of accuracy respectively. And we obtained 93.52% with data augmentation. In conclusion, we could obtain the accuracy of 93.75% with L2 Regularization and Data Augmentation.
운전자 정적 거동 특성을 이용한 차량 패키지 개선용 등가 인지지도 개발
안성용(SungYong Ahn),김한웅(HanWoong Kim),한미란(Miran Han),박범(Peom Park),경규형(GyouHyung Kyung) 대한인간공학회 2010 大韓人間工學會誌 Vol.29 No.1
This study was aimed at developing I) iso-perception maps for various groups of drivers in terms of age, gender, and anthropometry and 2) the experiment framework required for obtaining subjective and objective measures. A total of 9 maps, which describe drivers' perceptions regarding their static behaviors inside a typical mid-size sedan, can be used to improve the utilization of the limited driver workspace, and to select better design altematives for occupant packaging. An adjustable seating buck, a<SUP>***</SUP>-camera motion capture system (Vicon), and a<SUP>**</SUP>-chmmel EMG system were used for the experiment. Each iso-perception map was developed while H-PT, steering wheel center, or TGS knob center was moved to each of pre-defined positions relative to driver-selected positions. Adjustable ranges or positions of the seat, steering wheel, and TGS lever described in iso-perception maps can be used to detennine better package layout altematives.