Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313011320> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4313011320 endingPage "417" @default.
- W4313011320 startingPage "405" @default.
- W4313011320 abstract "Diabetic patients are at a high risk of developing Diabetic Retinopathy (DR). Due to the great success of deep learning, automated DR diagnosis has become a promising technique for the early detection and severity grading of Diabetic Retinopathy. DR classification is the process of classifying fundus image into five risk levels on the basis of severity of diabetes. In this paper, we propose a novel approach to classify DR severity levels. This is done by first segmenting each pixel into six different lesion types and then using different lesion regions present in the fundus images to classify the image into five severity levels of DR. Further, the model is optimized using unique pre-processing techniques like downsampling and image augmentation. We are working on the seg set of the FGADR dataset. Working on the seg set of the FGADR dataset, we report results of the proposed approach which outperforms the previous state-of-the-art methods. Diagnosis of DR can improve significantly by using these automated techniques in detecting lesion regions as well as detecting DR severity levels." @default.
- W4313011320 created "2023-01-05" @default.
- W4313011320 creator A5011643487 @default.
- W4313011320 creator A5012014190 @default.
- W4313011320 creator A5030545786 @default.
- W4313011320 creator A5084365659 @default.
- W4313011320 date "2022-01-01" @default.
- W4313011320 modified "2023-09-26" @default.
- W4313011320 title "Diabetic Retinopathy Classification Using Pixel-Level Lesion Segmentation" @default.
- W4313011320 cites W1901129140 @default.
- W4313011320 cites W1976647582 @default.
- W4313011320 cites W1982890488 @default.
- W4313011320 cites W2097117768 @default.
- W4313011320 cites W2150769593 @default.
- W4313011320 cites W2502390809 @default.
- W4313011320 cites W2557738935 @default.
- W4313011320 cites W2610981713 @default.
- W4313011320 cites W2626629100 @default.
- W4313011320 cites W2766116723 @default.
- W4313011320 cites W2784652774 @default.
- W4313011320 cites W2828862258 @default.
- W4313011320 cites W2894558420 @default.
- W4313011320 cites W2945472816 @default.
- W4313011320 cites W2948685905 @default.
- W4313011320 cites W3019637382 @default.
- W4313011320 cites W3098558149 @default.
- W4313011320 cites W3098668600 @default.
- W4313011320 doi "https://doi.org/10.1007/978-981-19-5037-7_29" @default.
- W4313011320 hasPublicationYear "2022" @default.
- W4313011320 type Work @default.
- W4313011320 citedByCount "0" @default.
- W4313011320 crossrefType "book-chapter" @default.
- W4313011320 hasAuthorship W4313011320A5011643487 @default.
- W4313011320 hasAuthorship W4313011320A5012014190 @default.
- W4313011320 hasAuthorship W4313011320A5030545786 @default.
- W4313011320 hasAuthorship W4313011320A5084365659 @default.
- W4313011320 hasConcept C110384440 @default.
- W4313011320 hasConcept C115961682 @default.
- W4313011320 hasConcept C118487528 @default.
- W4313011320 hasConcept C127413603 @default.
- W4313011320 hasConcept C134018914 @default.
- W4313011320 hasConcept C142724271 @default.
- W4313011320 hasConcept C147176958 @default.
- W4313011320 hasConcept C153180895 @default.
- W4313011320 hasConcept C154945302 @default.
- W4313011320 hasConcept C160633673 @default.
- W4313011320 hasConcept C2776391266 @default.
- W4313011320 hasConcept C2777286243 @default.
- W4313011320 hasConcept C2779829184 @default.
- W4313011320 hasConcept C2781156865 @default.
- W4313011320 hasConcept C31972630 @default.
- W4313011320 hasConcept C41008148 @default.
- W4313011320 hasConcept C555293320 @default.
- W4313011320 hasConcept C71924100 @default.
- W4313011320 hasConcept C89600930 @default.
- W4313011320 hasConceptScore W4313011320C110384440 @default.
- W4313011320 hasConceptScore W4313011320C115961682 @default.
- W4313011320 hasConceptScore W4313011320C118487528 @default.
- W4313011320 hasConceptScore W4313011320C127413603 @default.
- W4313011320 hasConceptScore W4313011320C134018914 @default.
- W4313011320 hasConceptScore W4313011320C142724271 @default.
- W4313011320 hasConceptScore W4313011320C147176958 @default.
- W4313011320 hasConceptScore W4313011320C153180895 @default.
- W4313011320 hasConceptScore W4313011320C154945302 @default.
- W4313011320 hasConceptScore W4313011320C160633673 @default.
- W4313011320 hasConceptScore W4313011320C2776391266 @default.
- W4313011320 hasConceptScore W4313011320C2777286243 @default.
- W4313011320 hasConceptScore W4313011320C2779829184 @default.
- W4313011320 hasConceptScore W4313011320C2781156865 @default.
- W4313011320 hasConceptScore W4313011320C31972630 @default.
- W4313011320 hasConceptScore W4313011320C41008148 @default.
- W4313011320 hasConceptScore W4313011320C555293320 @default.
- W4313011320 hasConceptScore W4313011320C71924100 @default.
- W4313011320 hasConceptScore W4313011320C89600930 @default.
- W4313011320 hasLocation W43130113201 @default.
- W4313011320 hasOpenAccess W4313011320 @default.
- W4313011320 hasPrimaryLocation W43130113201 @default.
- W4313011320 hasRelatedWork W1669643531 @default.
- W4313011320 hasRelatedWork W2005437358 @default.
- W4313011320 hasRelatedWork W2039154422 @default.
- W4313011320 hasRelatedWork W2090093270 @default.
- W4313011320 hasRelatedWork W2517104666 @default.
- W4313011320 hasRelatedWork W2739874619 @default.
- W4313011320 hasRelatedWork W2787555990 @default.
- W4313011320 hasRelatedWork W4230478053 @default.
- W4313011320 hasRelatedWork W4234111175 @default.
- W4313011320 hasRelatedWork W4254855881 @default.
- W4313011320 isParatext "false" @default.
- W4313011320 isRetracted "false" @default.
- W4313011320 workType "book-chapter" @default.