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문헌 초역 : 폐결핵 환자의 기관내 채담에 의한 결핵균의 검색, "트레핀"에 의한 경피폐생검
( Kohei Hara ),( Toshiro Oda ),( Masao Nakatomi ),( Nobuhiro Horiuchi ),( Tuneo Tsutsumi ),( Masaki Hirota ),( Nobuoki Mori ),( Masaru Nasu ),( Atsushi Seito ),( Hisashi Ishikawa ),( E. Garner King ) 대한결핵 및 호흡기학회 1977 Tuberculosis and Respiratory Diseases Vol.24 No.1
Classification of CTC on Fluorescence Image Based on Improved AlexNet
Kohei Kisanuki,Li Guangxu,Tohru Kamiya 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
These days, cancer has been the most primary cause of death in Japan. Cancer often progresses by repeating metastasis, so early detection and early treatment are important. Analysis of Circulating Tumor Cells (CTCs) has come to gather attention as a new biomarker that CTCs can detect primary cancer in human body. However, the number of CTCs in a billion blood cells is only a few, and detecting CTCs is very hard. Accordingly, we propose an automatic detection method of CTCs from fluorescence microscopy images to enable quantitative analysis by computer. This method consists of two parts. The first part, we use some series of filtering to the images and, new dividing method some overlapping nucleus then, from the images cut out the region of interest (ROI). The second part is distinguishing images by using CNN. We applied the proposed method to 5040 images of 6 samples. As a result, we obtained TPR:94.59%, FPR:6.544% by using AlexNet based model.
Automatic Segmentation Method of Phalange Regions Based on Residual U-Net and MSGVF Snakes
Kohei KAWAGOE,Kazuhiro HATANO,Seiichi MURAKAMI,Huimin LU,Hyoungseop KIM,Takatoshi AOKI 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Bone diseases include rheumatoid arthritis and osteoporosis. Although visual screening using computed radiography (CR) images is an effective method for diagnosing osteoporosis, there are some similar diseases that exhibit low bone mass status. To this end, we aim to develop a computer-aided diagnostic (CAD) system to support the automatic diagnosis of osteoporosis from CR images. In this paper, we use convolutional neural network (CNN) and multiscale gradient vector flow snakes (MSGVF Snakes) algorithms to segment each finger bone regions from the CR image. The proposed method is applied to 15 cases, 92.95 [%] of the true positive rates, 2.21 [%] of the false positive rates, 7.05 [%] of the false negative rates are obtained respectively.
Kohei Koga,Yoshiro Fukui 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
This study focused on the deorbiting of floating space debris using a free-flying space chaser robot with a robotic manipulator. Nanos et al. proposed continuous contact control between the manipulator and debris. The conventional method guarantees the required impedance behavior when the manipulator contacts the debris. However, it does not guarantee a safe distance between the robot and debris, and collisions between them may occur. In this paper, we propose continuous contact control between the manipulator and debris by adding positioning control to the conventional method. The proposed method guarantees not only the impedance behavior but also a safe distance between the robot and debris. Simulations in the planar space were used to verify the approach of the contact equipment to the target, and its ability to maintain the relative attitude.
Kohei Koyama,Kihachiro Kikuzawa 한국생태학회 2010 Journal of Ecology and Environment Vol.33 No.3
It has been well established that leaf longevity is linked to the carbon economy of plants. We used this relationship to predict leaf lifetime carbon gains from leaf lifespan, and estimated the gross primary production (GPP) of a young deciduous forest of Japanese beech (Fagus crenata) located in central Japan. The light-saturated photosynthetic rates of the leaves were measured repeatedly during the growing season. We used the leaf lifespan to calculate the conversion coefficient from the light-saturated photosynthetic rate into the realized leaf lifetime carbon gain under field conditions. The leaf turnover rate was estimated using litter traps. GPP was estimated as the product of lifetime carbon gain per unit of leaf mass, and the annual leaf turnover rate. The GPP of the forest in 2007 was estimated to be 1.2 × 10³ g C m⁻² y⁻¹, which was within the range of previously reported GPP values of beech forests in Japan, and was close to the GPP of a European beech forest, as estimated by eddy flux measurements.