학술논문

Big Data Resources for Digital Pathology
Document Type
Conference
Source
2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Signal Processing in Medicine and Biology Symposium (SPMB), 2023 IEEE. :1-25 Dec, 2023
Subject
Bioengineering
Signal Processing and Analysis
Pathology
Neural engineering
Breast tissue
Signal processing
Big Data
Biology
Cancer
Language
ISSN
2473-716X
Abstract
The Neural Engineering Data Consortium (NEDC), known for its open source data resources [1], has previously released the Breast Tissue subset of the Temple University Digital Pathology Corpus (TUDP), which consists of 3,505 partially annotated images [2]. This corpus is part of a much larger repository of over 100,000 images that will be released as part of NEDC’s digital pathology resources in 2023. In this abstract, we introduce our recently released corpus of 14,288 digital pathology images that were collected from Fox Chase Cancer Center’s (FCCC) Biosample Repository [3], and describe some changes being made to TUDP to organize these corpora in a unified framework.