Work

Uterine Movement Analysis Based on Velocity Information by Convolutional Neural Networks

Year: 2021

Type: conference-paper

Source: World Automation Congress (WAC)

DOI: 10.23919/wac50355.2021.9559483

Authors: Kentaro Mori, Yoshimitsu Tokunaga, Tetsuro Sakumoto, Akira Nakashima, Isamu Komesu, Yutaka Hata

Institutions: National Institute of Technology, Maizuru College, University of Hyogo

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3205609802

FWCI:

Cites: 12

Cited by:

Related to: 10