Oral

AI

Fri. Sep 15, 2017 3:20 PM - 4:30 PM Room5 (Tobu HG 6F Tatsuta I)

Organizer:MASUTANI YOSHITAKA(Hiroshima City University)

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3:20 PM - 3:30 PM

[O2-107] Study on MR Image Denoising using Deep Convolutional Neural Network

^○Satoshi Ito (Graduate School of Engineering, Utsunomiya University)

3:30 PM - 3:40 PM

[O2-108] Spine MRI Slice Positioning Assist method based on Machine Learning

^○Yuta Shimizu¹, Kenji Hamada¹, Sanae Takahashi¹, Isao Miyazaki¹, Mahiro Hayashi², Shichiro Katase², Kenichi Yokoyama², Kensuke Shinoda³, Nobuyasu Ichinose³ (1.Section of Radiology, Kyorin University Hospital, 2.Department of Radiology, school of medicine, Kyorin University, 3.Toshiba Medical Systems Corporation)

3:40 PM - 3:50 PM

[O2-109] Assessment of the strategy to visualize the decision making of Deep-Leaning in image classification while maintaining classification accuracy.

^○Yasuhiko Tachibana¹, Takayuki Obata¹, Takuya Urushihata¹, Tokuhiko Omatsu¹, Riwa Kishimoto¹, Tatsuya Higashi² (1.Applied MRI Research, Dept. of Molecular Imaging and Theranostics, NIRS, QST, 2.Dept. of Molecular Imaging and Theranostics, NIRS, QST)

3:50 PM - 4:00 PM

[O2-110] Can the deep-learning differentiate magnetic resonance images of the brain without DICOM-tag?

^○Hiroyuki Sugimori¹, Hiroyuki Hamaguchi², Taro Fujiwara², Hiroyuki Hirayama², Tomohiro Kawasaki², Kinya Ishizaka² (1.Hokkaido University, 2.Hokkaido Univ. Hospital)

4:00 PM - 4:10 PM

[O2-111] Prediction of pre-clinical AD: Discrimination of converter and non-converter using VBM

^○Akihiko Shiino (Department of Biomedical MR Science, Molecular Neuroscience Research Center, Shiga University of Medical Science)

4:10 PM - 4:20 PM

[O2-112] Detection of brain tumor using convolutional deep neural network trained with deep learning, preliminary study

^○Takashi Abe, Hajime Yokota, Benjamin Ellingson, Noriko Salamon (Department of Radiological Sciences, David Geffen School of Medicine, UCLA)

4:20 PM - 4:30 PM

[O2-113] Computer-aided diagnosis of liver fibrosis using the liver surface nodularity: comparison of the diagnostic performances between right and left lobes

^○Satoshi Funayama¹, Daiki Tamada¹, Utaroh Motosugi¹, Takashi Kakegawa², Kazuyuki Sato², Hiroshi Kumagai², Hiroshi Onishi¹ (1.Department of Radiology, University of Yamanashi, 2.University of Yamanashi Hospital)