Wound intensity correction and segmentation with convolutional neural networks-Reference-Cited by-同舟云学术

Wound intensity correction and segmentation with convolutional neural networks

Author:

Lu Huimin¹²³,Li Bin⁴,Zhu Junwu⁴,Li Yujie¹⁴,Li Yun⁴,Xu Xing⁵,He Li⁶,Li Xin³,Li Jianru⁷,Serikawa Seiichi¹

Affiliation:

1. Department of Electrical and Electronic Engineering; Kyushu Institute of Technology; Kitakyushu 8048550 Japan

2. Institute of Oceanology; Chinese Academy of Sciences; Qingdao 266071 China

3. State Key Laboratory of Ocean Engineering; Shanghai Jiao Tong University; Shanghai 200240 China

4. School of Information Engineering; Yangzhou University; Yangzhou 225009 China

5. Department of Information Science and Electrical Engineering; Kyushu University; Fukuoka 8190395 Japan

6. Qualcomm R&D Center; San Diego 92121 USA

7. State Key Laboratory of Marine Geology; Tongji University; Shanghai 200092 China

Funder

JSPS KAKENHI

Key Laboratory of Marine Geology and Environment of CAS

State Key Laboratory of Marine Geology at Tongji University

State Key Laboratory of Ocean Engineering at Shanghai Jiaotong University

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference29 articles.

1. Normalized cuts and image segmentation;Shi;IEEE Transactions on Pattern Analysis and Machine Intelligence,2000

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