Artificial Intelligence/Deep Learning for Surgical Assistance

Author:

Oda Masahiro1

Affiliation:

1. Department of Intelligent Systems, Graduate School of Informatics, Nagoya University

Publisher

The Japan Society of Computer Aided Surgery

Reference24 articles.

1. 1) Itoh H, Roth HR, Misawa M, et al. Polyp detection in colonoscopic videos by using spatio-temporal feature. Int J CARS 2018; 13 (1): S97-98.

2. 2) Oda M, Hoshiyama Y, Misawa M, et al. Endocytoscope image classification using deep convolutional neural networks. Int J CARS 2017; 12 (1): S147-S148.

3. 3) Twinanda AP, Shehata S, Mutter D, et al. EndoNet: A deep architecture for recognition tasks on laparoscopic videos. IEEE Trans Med Imaging 2017; 36 (1): 86-97.

4. 4) Varytimidis C, Rapantzikos K, Loukas C, et al. Surgical video retrieval using deep neural networks. M2CAI 2016.

5. 5) Shin Y, Qadir HA, Aabakken L, et al. Automatic colon polyp detection using region based deep CNN and post learning approaches. IEEE Access 2018; 6: 40950-40962.

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