Matches in SemOpenAlex for { <https://semopenalex.org/work/W3118653453> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3118653453 abstract "Diabetic retinopathy is a leading cause of blindness among working-age adults. Millions of people suffer from Diabetic Retinopathy in India. More dreaded situation is faced by the population in rural India where access to quality healthcare is limited. AI comes to the rescue in those situations where initial diagnosis can be performed without much manual intervention. Early detection of this condition is critical for good prognosis. In this paper we propose a solution using UP2 board (Edge device based on x86 architecture) where AI diagnosis can be performed on the local premise itself. We used PyTorch framework for training the model using EfficientNet-B4 network architecture. Trained model was optimized using Intel Distribution of Open-VINO, and hence there is no much compromise in execution time. Inference time for execution of single image in UP2 board is 0.2 sec. Our model achieved test metric performance comparable to baseline literature results, with sensitivity of 91.5% and specificity of 97.86%. For proof of concept we used open dataset from Kaggle 2019 competition hosted by Aravind Hospital, India." @default.
- W3118653453 created "2021-01-18" @default.
- W3118653453 creator A5014266183 @default.
- W3118653453 creator A5018619898 @default.
- W3118653453 creator A5091903497 @default.
- W3118653453 date "2020-09-21" @default.
- W3118653453 modified "2023-09-27" @default.
- W3118653453 title "EdgeAI: Diabetic Retinopathy Detection in Intel Architecture" @default.
- W3118653453 cites W1985109560 @default.
- W3118653453 cites W2038103161 @default.
- W3118653453 cites W2126946832 @default.
- W3118653453 cites W2295582178 @default.
- W3118653453 cites W2529153069 @default.
- W3118653453 cites W2557738935 @default.
- W3118653453 cites W2888424632 @default.
- W3118653453 cites W2949074827 @default.
- W3118653453 cites W2955425717 @default.
- W3118653453 cites W2963963432 @default.
- W3118653453 cites W2981826026 @default.
- W3118653453 doi "https://doi.org/10.1109/ai4g50087.2020.9311036" @default.
- W3118653453 hasPublicationYear "2020" @default.
- W3118653453 type Work @default.
- W3118653453 sameAs 3118653453 @default.
- W3118653453 citedByCount "2" @default.
- W3118653453 countsByYear W31186534532022 @default.
- W3118653453 crossrefType "proceedings-article" @default.
- W3118653453 hasAuthorship W3118653453A5014266183 @default.
- W3118653453 hasAuthorship W3118653453A5018619898 @default.
- W3118653453 hasAuthorship W3118653453A5091903497 @default.
- W3118653453 hasConcept C111919701 @default.
- W3118653453 hasConcept C127413603 @default.
- W3118653453 hasConcept C134018914 @default.
- W3118653453 hasConcept C154945302 @default.
- W3118653453 hasConcept C170723468 @default.
- W3118653453 hasConcept C176217482 @default.
- W3118653453 hasConcept C201995342 @default.
- W3118653453 hasConcept C21547014 @default.
- W3118653453 hasConcept C2777904410 @default.
- W3118653453 hasConcept C2778313320 @default.
- W3118653453 hasConcept C2779829184 @default.
- W3118653453 hasConcept C2780451532 @default.
- W3118653453 hasConcept C2908647359 @default.
- W3118653453 hasConcept C41008148 @default.
- W3118653453 hasConcept C555293320 @default.
- W3118653453 hasConcept C71924100 @default.
- W3118653453 hasConcept C99454951 @default.
- W3118653453 hasConceptScore W3118653453C111919701 @default.
- W3118653453 hasConceptScore W3118653453C127413603 @default.
- W3118653453 hasConceptScore W3118653453C134018914 @default.
- W3118653453 hasConceptScore W3118653453C154945302 @default.
- W3118653453 hasConceptScore W3118653453C170723468 @default.
- W3118653453 hasConceptScore W3118653453C176217482 @default.
- W3118653453 hasConceptScore W3118653453C201995342 @default.
- W3118653453 hasConceptScore W3118653453C21547014 @default.
- W3118653453 hasConceptScore W3118653453C2777904410 @default.
- W3118653453 hasConceptScore W3118653453C2778313320 @default.
- W3118653453 hasConceptScore W3118653453C2779829184 @default.
- W3118653453 hasConceptScore W3118653453C2780451532 @default.
- W3118653453 hasConceptScore W3118653453C2908647359 @default.
- W3118653453 hasConceptScore W3118653453C41008148 @default.
- W3118653453 hasConceptScore W3118653453C555293320 @default.
- W3118653453 hasConceptScore W3118653453C71924100 @default.
- W3118653453 hasConceptScore W3118653453C99454951 @default.
- W3118653453 hasLocation W31186534531 @default.
- W3118653453 hasOpenAccess W3118653453 @default.
- W3118653453 hasPrimaryLocation W31186534531 @default.
- W3118653453 hasRelatedWork W11023528 @default.
- W3118653453 hasRelatedWork W11144228 @default.
- W3118653453 hasRelatedWork W11991885 @default.
- W3118653453 hasRelatedWork W4313108 @default.
- W3118653453 hasRelatedWork W592020 @default.
- W3118653453 hasRelatedWork W6161656 @default.
- W3118653453 hasRelatedWork W6630852 @default.
- W3118653453 hasRelatedWork W7594470 @default.
- W3118653453 hasRelatedWork W8190504 @default.
- W3118653453 hasRelatedWork W9333608 @default.
- W3118653453 isParatext "false" @default.
- W3118653453 isRetracted "false" @default.
- W3118653453 magId "3118653453" @default.
- W3118653453 workType "article" @default.