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Committee Date Time Place Paper Title / Authors Abstract Paper #
MICT, MI 2020-11-04
15:50		 Online Online [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45		 After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] MICT2020-19 MI2020-45
pp.60-61
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
16:35		 Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)		 A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) 		As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more]
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-19
09:35		 Okinawa   Super-resolution of MRI images using SRCNN and its Evaluation
Hikaru Niida, Kiminori Matsuzaki (Kochi Univ. of Tech.) MI2017-63		 Super-resolution using deep convolutional neural networks (SRCNN) was proposed by Dong et al. in 2014. SRCNN has also be... [more] MI2017-63
pp.1-4
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