Back to search

Article

Development of Pathological Super-resolution Images using Artificial Intelligence based on Whole Slide Image

2020-02-20

Abstract excerpt

<h4>Background: </h4> Pathology plays a very important role in the cancer diagnosis, as the gold standard for the identification of tumors. The rapid development of digital pathology (DP) which based on Whole Slide Image (WSI) has led to many improvements in telepathological consultation, digital management, and computer-assisted diagnosis by artificial intelligence (AI). In DP, the common digitization strategy is...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
98e53bd9-9246-5c3d-8c7c-0fc9ed5e376c
DOI
10.21203/rs.2.24125/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development of Pathological Super-resolution Images using Artificial Intelligence based on Whole Slide ImageDOI 10.21203/rs.2.24125/v1
Select a neighboring publication to make it the new centre.