PMC · DOI:10.1007/s00234-024-03437-5·August 1, 2024
Correction to: Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study
Guorong Wang, Bingbing Yang, Xiaoxia Qu, Jian Guo, Yongheng Luo, Xiaoquan Xu, Feiyun Wu, Xiaoxue Fan, Yang Hou, Song Tian, Sicong Huang, Junfang Xian
Abstract
Linked entities
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Diseases1
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLymphoma Diagnosis and Treatment · Immunotherapy and Immune Responses · Breast Lesions and Carcinomas