Work

$$\mathrm {IterMask^2}$$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-72111-3_32

Authors: Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas

Institutions: University of Oxford, Imperial College London, University of Birmingham

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: green

Funder: Engineering and Physical Sciences Research Council

Award: Visual AI: An Open World Interpretable Visual Transformer

OpenAlex ID: W4403150361

FWCI: 1.847

Cites: 20

Cited by: 10

Related to: 10