A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.

ABSTRACT: Motivation:The aim of precision medicine is to harness new knowledge and technology to optimize the timing and targeting of interventions for maximal therapeutic benefit. This study explores the possibility of building AI models without precise pixel-level annotation in prediction of the tumor size, extrathyroidal extension, lymph node metastasis, cancer stage and BRAF mutation in thyroid cancer diagnosis, providing the patients' background information, histopathological and immunohistochemical tissue images. Results:A novel framework for objective evaluation of automatic patient diagnosis algorithms has been established under the auspices of the IEEE International Symposium on Biomedical Imaging 2017- A Grand Challenge for Tissue Microarray Analysis in Thyroid Cancer Diagnosis. Here, we p

SUBMITTER: Wang CW 

PROVIDER: S-EPMC5946957 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature