Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

27 Jul 2013

Abstract excerpt

BACKGROUND: The integration and visualization of multimodal datasets is a common challenge in biomedical informatics. Several recent studies of The Cancer Genome Atlas (TCGA) data have illustrated important relationships between morphology observed in whole-slide images, outcome, and genetic events. The pairing of genomics and rich clinical descriptions with whole-slide imaging provided by TCGA presents a unique...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to AI in cancer detection
Share to Cancer Genomics and Diagnostics
Share to Radiomics and Machine Learning in Medical Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 23893318
DOI: 10.1136/amiajnl-2012-001469

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology dataPMID 23893318Read ↗

An integrative web-based software tool for multi-dimensional pathology whole-slide image analyticsSemantic proximity Read ↗

Histo-genomics: digital pathology at the forefront of precision medicineSemantic proximity Read ↗

Digital pathology and image analysis in tissue biomarker research.Semantic proximity Read ↗

Integrated morphologic analysis for the identification and characterization of disease subtypesSemantic proximity Read ↗

Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics BrowserSemantic proximity Read ↗

Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomes.Semantic proximity Read ↗

Online narrative guides for illuminating tissue atlas data and digital pathology imagesSemantic proximity Read ↗

PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective.Semantic proximity Read ↗

Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide imagesSemantic proximity Read ↗

The UCSC Cancer Genomics Browser: update 2015.Semantic proximity Read ↗

Personalized Oncology Suite: integrating next-generation sequencing data and whole-slide bioimages.Semantic proximity Read ↗

How clinical imaging can assess cancer biologySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.