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Dataset Information

Systematic Review of Tumor Segmentation Strategies for Bone Metastases.


ABSTRACT:

Purpose

To investigate the segmentation approaches for bone metastases in differentiating benign from malignant bone lesions and characterizing malignant bone lesions.

Method

The literature search was conducted in Scopus, PubMed, IEEE and MedLine, and Web of Science electronic databases following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A total of 77 original articles, 24 review articles, and 1 comparison paper published between January 2010 and March 2022 were included in the review.

Results

The results showed that most studies used neural network-based approaches (58.44%) and CT-based imaging (50.65%) out of 77 original articles. However, the review highlights the lack of a gold standard for tumor boundaries and

SUBMITTER: Paranavithana IR 

PROVIDER: S-EPMC10046265 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature