Work

Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection

Year: 2022

Type: conference-paper

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/embc48229.2022.9870992

Authors: Ines Lopes, Augusto Silva, Miguel Coimbra, Mario Dinis-Ribeiro, Diogo Libanio, Francesco Renna

Institutions: Institute for Systems Engineering and Computers, INESC TEC, University of Aveiro, Universidade do Porto, Centre for Health Technology and Services Research

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Fundação para a Ciência e a Tecnologia

Award: G4432096741

OpenAlex ID: W4294975331

FWCI: 0.081

Cites: 11

Cited by: 2

Related to: 10