Work

Dual convolution-transformer UNet (DCT-UNet) for organs at risk and clinical target volume segmentation in MRI for cervical cancer brachytherapy

Year: 2024

Type: article

Source: Physics in Medicine and Biology

DOI: 10.1088/1361-6560/ad84b2

Authors: Gayoung Kim, Akila N Viswanathan, Rohini Bhatia, Yosef Landman, Michael Roumeliotis, Beth Erickson, Ehud J Schmidt, Junghoon Lee

Institutions: Johns Hopkins University, Medical College of Wisconsin, Johns Hopkins Medicine, Johns Hopkins Hospital

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

Funders: Korea Health Industry Development Institute, National Institutes of Health

Awards: G2639647668, Changing brachytherapy with MRI remnant-tumor segmentation and active-catheter placement

OpenAlex ID: W4403222696

FWCI: 1.82

Cites: 59

Cited by: 13

Related to: 10