Work

Automatic detection and segmentation of lesions in 18F-FDG PET/CT imaging of patients with Hodgkin lymphoma using 3D dense U-Net

Year: 2024

Type: article

Source: Nuclear Medicine Communications

DOI: 10.1097/mnm.0000000000001892

Authors: Mohammad Amin Izadi, Nafiseh Alemohammad, Parham Geramifar, Ali Salimi, Zeinab Paymani, Roya Eisazadeh, Rezvan Samimi, Babak Nikkholgh, Zaynab Sabouri

Institutions: Shahed University, Tehran University of Medical Sciences, University of Tehran, Shariati Hospital, Shahid Beheshti University, 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: closed

OpenAlex ID: W4402198237

FWCI: 0.281

Cites: 24

Cited by: 2

Related to: 10