Work

Clinical Use of Hematoma Volume Based On Automated Segmentation of Chronic Subdural Hematoma Using 3D U-Net

Year: 2024

Type: article

Source: Clinical Neuroradiology

DOI: 10.1007/s00062-024-01428-w

Authors: Takayuki Inomata, Koji Nakaya, Mikio Matsuhiro, Jun Takei, Hiroto Shiozaki, Yasuto Noda

Institutions: Suzuka University of Medical Science, Fuji City General Hospital, Jikei University School of Medicine

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: W4399178173

FWCI: 0.533

Cites: 35

Cited by: 5

Related to: 10