ผลงานตีพิมพ์ในวารสารวิชาการA Simple "Nano-Templating" Method Using Zeolite Y Toward the Formation of Carbon Schwarzitesผู้แต่ง:Boonyoung, P, Kasukabe, T, Hoshikawa, Y, Berenguer-Murcia, A, Cazorla-Amoros, D, Dr.Bundet Boekfa, Associate Professor, Nishihara, H, Kyotani, T, Nueangnoraj, K, วารสาร: |
ผลงานตีพิมพ์ในวารสารวิชาการPhotocatalytic performance of TiO2-zeolite templated carbon composites in organic contaminant degradationผู้แต่ง:Donphai, W., Kamegawa, T., Dr.Metta Chareonpanich, Professor, Nueangnoraj, K., Nishihara, H., Kyotani, T., Yamashita, H., วารสาร: |
ผลงานตีพิมพ์ในวารสารวิชาการKangaroo endogenous retrovirus (KERV) forms megasatellite DNA with a simple repetition pattern in which the provirus structure is retainedผู้แต่ง:Koga, A., Nishihara, H., Tanabe, H., Tanaka, R., Kayano, R., Matsumoto, S., Endo, T., Dr.Kornsorn Srikulnath, Associate Professor, O'Neill, R.J., วารสาร: |
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หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Automatic Screening Algorithm for Narrow Anterior Chamber Angle and Angle-Closure Glaucoma Based on Slit-Lamp Image Analysis) ผู้เขียน:Chonlada Theeraworn, Waree Kongprawechnon, Toshiaki Kondo, Pished Bunnun, Akinori Nishihara, Anita Manassakorn สื่อสิ่งพิมพ์:pdf AbstractTo perform a narrow anterior chamber angle (NACA) and angle-closure glaucoma (ACG) screening using the Van Herick’s method, the width of the peripheral anterior chamber depth (PACD) and corneal thickness have to be measured. These are the key parameters to identify a patient who may be suffering from ACG. Therefore, to develop an automatic screening algorithm for NACA and ACG based on slit-lamp image analysis, a width measurement algorithm has to be as accurate as possible in order to produce the best result. An algorithm was proposed to increase the screening accuracy and also to reduce the computational time. To overcome bright spot reflection on the cornea, the extraction of light reflected and the measurements of both the PACD and corneal thickness were improved. In order to remove unnecessary areas from the image and decrease the processing time, an improved algorithm was designed to automatically detect a region of interest (ROI). Then, only the ROI image was used in subsequent processes. Experimental results showed that the proposed algorithm is accurate and reliable. |
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