FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4299619145> ?p ?o ?g. }

• W4299619145 endingPage "2617" @default.
• W4299619145 startingPage "2617" @default.
• W4299619145 abstract "Diabetes mellitus (DM) foot ulcer is a chronic wound and is highly related to the mortality and morbidity of infection, and might induce sepsis and foot amputation, especially during the isolation stage of the COVID-19 pandemic. Visual observation when changing dressings is the most common and traditional method of detecting wound healing. The formation of granulation tissues plays an important role in wound healing. In the complex pathophysiology of excess and unhealthy granulation induced by infection, oxygen supply may explain the wound healing process in DM patients with multiple complicated wounds. Thus, advanced and useful tools to observe the condition of wound healing are very important for DM patients with extremities ulcers. For this purpose, we developed an artificial intelligence (AI) detection model to identify the growth of granulation tissue of the wound bed. We recruited 100 patients to provide 219 images of wounds at different healing stages from 2 hospitals. This was performed to understand the wound images of inconsistent size, and to allow self-inspection on mobile devices, having limited computing resources. We segmented those images into 32 × 32 blocks and used a reduced ResNet-18 model to test them individually. Furthermore, we conducted a learning method of active learning to improve the efficiency of model training. Experimental results reveal that our model can identify the region of granulation tissue with an Intersection-over-Union (IOU) rate higher than 0.5 compared to the ground truth. Multiple cross-repetitive validations also confirm that the detection results of our model may serve as an auxiliary indicator for assessing the progress of wound healing. The preliminary findings may help to identify the granulation tissue of patients with DM foot ulcer, which may lead to better long-term home care during the COVID-19 pandemic. The current limit of our model is an IOU of about 0.6. If more actual data are available, the IOU is expected to improve. We can continue to use the currently established active learning process for subsequent training." @default.
• W4299619145 created "2022-10-02" @default.
• W4299619145 creator A5000760750 @default.
• W4299619145 creator A5040193180 @default.
• W4299619145 creator A5042349899 @default.
• W4299619145 creator A5051964373 @default.
• W4299619145 creator A5084211232 @default.
• W4299619145 creator A5089777075 @default.
• W4299619145 date "2022-08-20" @default.
• W4299619145 modified "2023-10-05" @default.
• W4299619145 title "A Granulation Tissue Detection Model to Track Chronic Wound Healing in DM Foot Ulcers" @default.
• W4299619145 cites W1989472665 @default.
• W4299619145 cites W2000702676 @default.
• W4299619145 cites W2025566624 @default.
• W4299619145 cites W2071107715 @default.
• W4299619145 cites W2131226296 @default.
• W4299619145 cites W2194775991 @default.
• W4299619145 cites W2306220511 @default.
• W4299619145 cites W2600079658 @default.
• W4299619145 cites W2749803101 @default.
• W4299619145 cites W2902166991 @default.
• W4299619145 cites W2913009669 @default.
• W4299619145 cites W2917714305 @default.
• W4299619145 cites W2963150697 @default.
• W4299619145 cites W3000326606 @default.
• W4299619145 cites W3012353290 @default.
• W4299619145 cites W3036006223 @default.
• W4299619145 cites W3081498266 @default.
• W4299619145 cites W3210256718 @default.
• W4299619145 doi "https://doi.org/10.3390/electronics11162617" @default.
• W4299619145 hasPublicationYear "2022" @default.
• W4299619145 type Work @default.
• W4299619145 citedByCount "1" @default.
• W4299619145 countsByYear W42996191452023 @default.
• W4299619145 crossrefType "journal-article" @default.
• W4299619145 hasAuthorship W4299619145A5000760750 @default.
• W4299619145 hasAuthorship W4299619145A5040193180 @default.
• W4299619145 hasAuthorship W4299619145A5042349899 @default.
• W4299619145 hasAuthorship W4299619145A5051964373 @default.
• W4299619145 hasAuthorship W4299619145A5084211232 @default.
• W4299619145 hasAuthorship W4299619145A5089777075 @default.
• W4299619145 hasBestOaLocation W42996191451 @default.
• W4299619145 hasConcept C134018914 @default.
• W4299619145 hasConcept C141071460 @default.
• W4299619145 hasConcept C2776055305 @default.
• W4299619145 hasConcept C2777438270 @default.
• W4299619145 hasConcept C2777858829 @default.
• W4299619145 hasConcept C2780269544 @default.
• W4299619145 hasConcept C555293320 @default.
• W4299619145 hasConcept C71924100 @default.
• W4299619145 hasConceptScore W4299619145C134018914 @default.
• W4299619145 hasConceptScore W4299619145C141071460 @default.
• W4299619145 hasConceptScore W4299619145C2776055305 @default.
• W4299619145 hasConceptScore W4299619145C2777438270 @default.
• W4299619145 hasConceptScore W4299619145C2777858829 @default.
• W4299619145 hasConceptScore W4299619145C2780269544 @default.
• W4299619145 hasConceptScore W4299619145C555293320 @default.
• W4299619145 hasConceptScore W4299619145C71924100 @default.
• W4299619145 hasFunder F4320322795 @default.
• W4299619145 hasIssue "16" @default.
• W4299619145 hasLocation W42996191451 @default.
• W4299619145 hasOpenAccess W4299619145 @default.
• W4299619145 hasPrimaryLocation W42996191451 @default.
• W4299619145 hasRelatedWork W1515744457 @default.
• W4299619145 hasRelatedWork W2098670130 @default.
• W4299619145 hasRelatedWork W2115862042 @default.
• W4299619145 hasRelatedWork W2149718216 @default.
• W4299619145 hasRelatedWork W2362183612 @default.
• W4299619145 hasRelatedWork W2366666323 @default.
• W4299619145 hasRelatedWork W2530350521 @default.
• W4299619145 hasRelatedWork W2772195996 @default.
• W4299619145 hasRelatedWork W3032402220 @default.
• W4299619145 hasRelatedWork W62711790 @default.
• W4299619145 hasVolume "11" @default.
• W4299619145 isParatext "false" @default.
• W4299619145 isRetracted "false" @default.
• W4299619145 workType "article" @default.