Matches in SemOpenAlex for { <https://semopenalex.org/work/W3199804981> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3199804981 abstract "Colorimetric assays are an important tool in point-of-care testing that offers several advantages such as rapid response times and inexpensive costs. A factor that currently limits their use is objective measures to determine results. Current solutions consist of creating a test reader that standardizes the conditions the strip is under before measuring. However, this increases the cost and decreases the portability of these assays. The focus of this study is to train a convolutional neural network (CNN) that can objectively determine results of colorimetric assays under varying conditions. To ensure the flexibility of the model to several types of colorimetric assays, three models are trained on the same CNN. The images these models are trained on consist of positive and negative images of ETG (99.87% positive classification, 99.96% negative classification), fentanyl (99.60% positive classification, 99.56% negative classification), and HPV antibody (99.86% positive classification, 100% negative classification) strips taken under different lighting and background conditions. A fourth model is trained on an image set composed of all three strip types with the lowest classification accuracy being 99.11%." @default.
- W3199804981 created "2021-09-27" @default.
- W3199804981 creator A5009079367 @default.
- W3199804981 creator A5033246326 @default.
- W3199804981 creator A5049250255 @default.
- W3199804981 date "2021-08-09" @default.
- W3199804981 modified "2023-09-26" @default.
- W3199804981 title "Using Machine Learning to Objectively Determine Colorimetric Assay Results from Cell Phone Photos Taken Under Ambient Lighting" @default.
- W3199804981 cites W1981881256 @default.
- W3199804981 cites W2253429366 @default.
- W3199804981 cites W2597747340 @default.
- W3199804981 cites W2766427015 @default.
- W3199804981 cites W3005272411 @default.
- W3199804981 cites W3103240054 @default.
- W3199804981 doi "https://doi.org/10.1109/mwscas47672.2021.9531902" @default.
- W3199804981 hasPublicationYear "2021" @default.
- W3199804981 type Work @default.
- W3199804981 sameAs 3199804981 @default.
- W3199804981 citedByCount "1" @default.
- W3199804981 countsByYear W31998049812023 @default.
- W3199804981 crossrefType "proceedings-article" @default.
- W3199804981 hasAuthorship W3199804981A5009079367 @default.
- W3199804981 hasAuthorship W3199804981A5033246326 @default.
- W3199804981 hasAuthorship W3199804981A5049250255 @default.
- W3199804981 hasConcept C105795698 @default.
- W3199804981 hasConcept C115961682 @default.
- W3199804981 hasConcept C119857082 @default.
- W3199804981 hasConcept C120665830 @default.
- W3199804981 hasConcept C121332964 @default.
- W3199804981 hasConcept C142724271 @default.
- W3199804981 hasConcept C153180895 @default.
- W3199804981 hasConcept C154945302 @default.
- W3199804981 hasConcept C177264268 @default.
- W3199804981 hasConcept C192209626 @default.
- W3199804981 hasConcept C199360897 @default.
- W3199804981 hasConcept C2780598303 @default.
- W3199804981 hasConcept C33923547 @default.
- W3199804981 hasConcept C41008148 @default.
- W3199804981 hasConcept C63000827 @default.
- W3199804981 hasConcept C64841741 @default.
- W3199804981 hasConcept C71924100 @default.
- W3199804981 hasConcept C75294576 @default.
- W3199804981 hasConcept C81363708 @default.
- W3199804981 hasConceptScore W3199804981C105795698 @default.
- W3199804981 hasConceptScore W3199804981C115961682 @default.
- W3199804981 hasConceptScore W3199804981C119857082 @default.
- W3199804981 hasConceptScore W3199804981C120665830 @default.
- W3199804981 hasConceptScore W3199804981C121332964 @default.
- W3199804981 hasConceptScore W3199804981C142724271 @default.
- W3199804981 hasConceptScore W3199804981C153180895 @default.
- W3199804981 hasConceptScore W3199804981C154945302 @default.
- W3199804981 hasConceptScore W3199804981C177264268 @default.
- W3199804981 hasConceptScore W3199804981C192209626 @default.
- W3199804981 hasConceptScore W3199804981C199360897 @default.
- W3199804981 hasConceptScore W3199804981C2780598303 @default.
- W3199804981 hasConceptScore W3199804981C33923547 @default.
- W3199804981 hasConceptScore W3199804981C41008148 @default.
- W3199804981 hasConceptScore W3199804981C63000827 @default.
- W3199804981 hasConceptScore W3199804981C64841741 @default.
- W3199804981 hasConceptScore W3199804981C71924100 @default.
- W3199804981 hasConceptScore W3199804981C75294576 @default.
- W3199804981 hasConceptScore W3199804981C81363708 @default.
- W3199804981 hasLocation W31998049811 @default.
- W3199804981 hasOpenAccess W3199804981 @default.
- W3199804981 hasPrimaryLocation W31998049811 @default.
- W3199804981 hasRelatedWork W10412386 @default.
- W3199804981 hasRelatedWork W354571 @default.
- W3199804981 hasRelatedWork W4275953 @default.
- W3199804981 hasRelatedWork W4771408 @default.
- W3199804981 hasRelatedWork W5743998 @default.
- W3199804981 hasRelatedWork W6563719 @default.
- W3199804981 hasRelatedWork W7811848 @default.
- W3199804981 hasRelatedWork W9190101 @default.
- W3199804981 hasRelatedWork W9362070 @default.
- W3199804981 hasRelatedWork W9364628 @default.
- W3199804981 isParatext "false" @default.
- W3199804981 isRetracted "false" @default.
- W3199804981 magId "3199804981" @default.
- W3199804981 workType "article" @default.