Work

Enhancing the UNet3+ architecture for deep learning segmentation of kidneys and cysts in autosomal dominant polycystic kidney disease (ADPKD)

Year: 2024

Type: conference-paper

Source: SPIE Medical Imaging: Clinical and Biomedical Imaging

DOI: 10.1117/12.3006823

Authors: Chetana Krishnan, Emma Schmidt, Ezinwanne Onuoha, Michal Mrug, Carlos E. Cardenas, Harrison Kim

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: W4391908237

FWCI: 0.633

Cites: 43

Cited by: 3

Related to: 10