Work

3D U-Net for brain stroke lesion segmentation on ISLES 2018 dataset

Year: 2021

Type: conference-paper

Source: International Conference on Electronics, Computer and Computation

DOI: 10.1109/icecco53203.2021.9663825

Authors: Azhar Tursynova, Batyrkhan Omarov

Institution: Al-Farabi Kazakh National University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4206120628

FWCI: 2.325

Cites: 21

Cited by: 40

Related to: 10