Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922272227> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2922272227 abstract "Artificial Intelligence (AI) is increasingly becoming a tool to enhance various medical image analysis tasks with accuracies comparable to expert clinicians. Computer assisted detection and diagnosis, and image segmentation and registration have significantly benefited from AI. However, integration of AI into the clinical workflow has been slow due to requirements for libraries that are specific to each model, and also environments that are specific to clinical centers. These challenges demonstrate the need for an AI-based solution that can be integrated into any environment with minimum hardware and software overhead. Tesseract-Medical Imaging (Tesseract-MI) is an open-source, web-based platform which enables deployment of AI models while simultaneously providing standard image viewing and reporting schemes. The goal of Tesseract-MI is to augment 3D medical imaging and provide a 4th dimension (AI) when requested by a user. As a case study, we demonstrate the utility of our platform and present ProstateCancer.ai, a web application for identification of clinically significant prostate cancer in MRI." @default.
- W2922272227 created "2019-03-22" @default.
- W2922272227 creator A5023208947 @default.
- W2922272227 creator A5028616268 @default.
- W2922272227 creator A5040401197 @default.
- W2922272227 creator A5042730944 @default.
- W2922272227 creator A5059498497 @default.
- W2922272227 creator A5074518172 @default.
- W2922272227 creator A5085504109 @default.
- W2922272227 creator A5091681491 @default.
- W2922272227 date "2019-03-08" @default.
- W2922272227 modified "2023-10-16" @default.
- W2922272227 title "Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging" @default.
- W2922272227 cites W2083927153 @default.
- W2922272227 cites W2577453388 @default.
- W2922272227 cites W2757862658 @default.
- W2922272227 cites W2794803511 @default.
- W2922272227 cites W2897767703 @default.
- W2922272227 cites W2963446712 @default.
- W2922272227 doi "https://doi.org/10.1117/12.2513004" @default.
- W2922272227 hasPublicationYear "2019" @default.
- W2922272227 type Work @default.
- W2922272227 sameAs 2922272227 @default.
- W2922272227 citedByCount "2" @default.
- W2922272227 countsByYear W29222722272021 @default.
- W2922272227 countsByYear W29222722272022 @default.
- W2922272227 crossrefType "proceedings-article" @default.
- W2922272227 hasAuthorship W2922272227A5023208947 @default.
- W2922272227 hasAuthorship W2922272227A5028616268 @default.
- W2922272227 hasAuthorship W2922272227A5040401197 @default.
- W2922272227 hasAuthorship W2922272227A5042730944 @default.
- W2922272227 hasAuthorship W2922272227A5059498497 @default.
- W2922272227 hasAuthorship W2922272227A5074518172 @default.
- W2922272227 hasAuthorship W2922272227A5085504109 @default.
- W2922272227 hasAuthorship W2922272227A5091681491 @default.
- W2922272227 hasConcept C105339364 @default.
- W2922272227 hasConcept C107457646 @default.
- W2922272227 hasConcept C111919701 @default.
- W2922272227 hasConcept C121684516 @default.
- W2922272227 hasConcept C136764020 @default.
- W2922272227 hasConcept C154945302 @default.
- W2922272227 hasConcept C2777904410 @default.
- W2922272227 hasConcept C3018397939 @default.
- W2922272227 hasConcept C31601959 @default.
- W2922272227 hasConcept C31972630 @default.
- W2922272227 hasConcept C41008148 @default.
- W2922272227 hasConceptScore W2922272227C105339364 @default.
- W2922272227 hasConceptScore W2922272227C107457646 @default.
- W2922272227 hasConceptScore W2922272227C111919701 @default.
- W2922272227 hasConceptScore W2922272227C121684516 @default.
- W2922272227 hasConceptScore W2922272227C136764020 @default.
- W2922272227 hasConceptScore W2922272227C154945302 @default.
- W2922272227 hasConceptScore W2922272227C2777904410 @default.
- W2922272227 hasConceptScore W2922272227C3018397939 @default.
- W2922272227 hasConceptScore W2922272227C31601959 @default.
- W2922272227 hasConceptScore W2922272227C31972630 @default.
- W2922272227 hasConceptScore W2922272227C41008148 @default.
- W2922272227 hasLocation W29222722271 @default.
- W2922272227 hasOpenAccess W2922272227 @default.
- W2922272227 hasPrimaryLocation W29222722271 @default.
- W2922272227 hasRelatedWork W1891287906 @default.
- W2922272227 hasRelatedWork W1969923398 @default.
- W2922272227 hasRelatedWork W2021592657 @default.
- W2922272227 hasRelatedWork W2036807459 @default.
- W2922272227 hasRelatedWork W2166044122 @default.
- W2922272227 hasRelatedWork W2229312674 @default.
- W2922272227 hasRelatedWork W2748952813 @default.
- W2922272227 hasRelatedWork W2755342338 @default.
- W2922272227 hasRelatedWork W2772917594 @default.
- W2922272227 hasRelatedWork W3116076068 @default.
- W2922272227 isParatext "false" @default.
- W2922272227 isRetracted "false" @default.
- W2922272227 magId "2922272227" @default.
- W2922272227 workType "article" @default.