Work

Imbalanced Medical Image Segmentation With Pixel-Dependent Noisy Labels

Year: 2024

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2024.3524253

Authors: Erjian Guo, Zicheng Wang, Zhen Zhao, Luping Zhou

Institution: The University of Sydney

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

Funder: Australian Research Council

Award: Personalised Learning for Per-pixel Prediction Tasks in Image Analysis

OpenAlex ID: W4405936060

FWCI: 0.844

Cites: 37

Cited by: 6

Related to: 10