Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Akiyuki Tanizawa"'
Publikováno v:
Physica Medica. 70:196-205
Purpose We have developed a new method to track tumor position using fluoroscopic images, and evaluated it using hepatocellular carcinoma case data. Methods Our method consists of a training stage and a tracking stage. In the training stage, the mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda6c3a7e108beb527cc19d4a47ccd9a
https://doi.org/10.1016/j.ejmp.2020.02.001
https://doi.org/10.1016/j.ejmp.2020.02.001
Publikováno v:
Physica Medica. 59:22-29
Purpose To improve respiratory gating accuracy and treatment throughput, we developed a fluoroscopic markerless tumor tracking algorithm based on a deep neural network (DNN). Methods In the learning stage, target positions were projected onto digital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86db37b7cfcbb70135eb3cc1ad352cea
https://doi.org/10.1016/j.ejmp.2019.02.006
https://doi.org/10.1016/j.ejmp.2019.02.006
Publikováno v:
Physics in medicine and biology. 65(8)
To improve respiratory-gated radiotherapy accuracy, we developed a machine learning approach for markerless tumor tracking and evaluated it using lung cancer patient data. Digitally reconstructed radiography (DRR) datasets were generated using planni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::794a1fd743af0e201507126ff8b302e6
https://pubmed.ncbi.nlm.nih.gov/32097899
https://pubmed.ncbi.nlm.nih.gov/32097899
Publikováno v:
IJCAI
Compressing DNNs is important for the real-world applications operating on resource-constrained devices. However, we typically observe drastic performance deterioration when changing model size after training is completed. Therefore, retraining is re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6ef8b8e784a3c1d53ae0dc756d1b8c
http://arxiv.org/abs/1910.13141
http://arxiv.org/abs/1910.13141
Publikováno v:
ICMLA
In recent years, deep neural networks (DNNs) have been applied to various machine leaning tasks, including image recognition, speech recognition, and machine translation. However, large DNN models are needed to achieve state-of-the-art performance, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3109dfc6832df09a3f716c1a16b4e842
https://doi.org/10.1109/icmla.2018.00054
https://doi.org/10.1109/icmla.2018.00054
Publikováno v:
Proceedings of SPIE; 1/13/2019, Vol. 10950, p1-7, 7p
Autor:
Akiyuki Tanizawa, Tse kai Heng, Tomoya Kodama, Matsuo Takuya, Takayuki Itoh, Wataru Asano, Jun Yamaguchi
Publikováno v:
ICIP
H.265/HEVC standard, promising up to twice the compression efficiency over H.264/AVC standard is suitable for encoding UHD videos and has garnered much attention since its inception. With increasing amount of devices supporting UHD, real-time H.265/H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ee4f715b77dab289a43dfa718686141
https://doi.org/10.1109/icip.2014.7025242
https://doi.org/10.1109/icip.2014.7025242
Autor:
Akiyuki Tanizawa, Takeshi Chujoh
Publikováno v:
ICIP
Weighted prediction (WP) is an efficient motion compensation technique to predict temporal illumination variation. It has been introduced in H.264/MPEG-4 AVC (Advanced Video Coding, H.264) and consists of two modes: an explicit WP (EWP) and an implic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd0c76ead113b240b276164da28ec0e8
https://doi.org/10.1109/icip.2013.6738391
https://doi.org/10.1109/icip.2013.6738391
Publikováno v:
ICIP
Weighted prediction (WP) in H.264/MPEG-4 AVC (H.264) is an efficient motion compensation technique to predict illumination variation and consists of two modes: an explicit WP (EWP) and an implicit WP (IWP). Since in IWP, only weighting factors are im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c155dc06bf1cf4d824f3b49dab5e822
https://doi.org/10.1109/icip.2012.6467167
https://doi.org/10.1109/icip.2012.6467167
Publikováno v:
ICIP
In this paper, we present the One-Dimensional Directional Unified Transform (1DDUT) for intra coding. Intra prediction in H.264/AVC has eight different directional prediction modes and a DC prediction mode. Since the statistical characteristics of pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3887dbea8dfbcd9bbc61856efef2eb66
https://doi.org/10.1109/icip.2011.6116518
https://doi.org/10.1109/icip.2011.6116518