Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309355964> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4309355964 endingPage "291" @default.
- W4309355964 startingPage "279" @default.
- W4309355964 abstract "The state-of-the-art deep learning (DL) frameworks such as convolutional neural networks (CNNs) have made remarkable progress in skin-lesion classification from dermoscopic images. Existing literature does not reveal the transparency of the nested nonlinear DL architecture that is what made the skin lesions to fall under a certain category. The primary interest lies in the fact that how the input dermoscopic images fed to the CNN has learnt the lesion patterns for discrimination of the melanocytic as well as the epidermal skin lesions. To mitigate the aforementioned issue, this chapter contributes to frame an explainable deep learning ( x -DL) network to display the layer-wise relevance patterns learnt via classification process by pixel-wise decomposition (PwD) and layer-wise relevance backpropagation (LRBP) approaches. The approaches produce multiple relevance maps in the intermediate layers with a single relevance map at the input layer to interpret the contribution of input dermoscopic images toward an accurate skin-lesion diagnosis. Comprehensive ablation studies have been carried out to reveal that the x -DL network can significantly focus the region of interest (RoI) of skin lesions. Our proposed module can also be served as one of the alternative opinions after the dermatologist in the computer-aided diagnosis (CAD) system." @default.
- W4309355964 created "2022-11-26" @default.
- W4309355964 creator A5037118341 @default.
- W4309355964 creator A5046940335 @default.
- W4309355964 creator A5048635721 @default.
- W4309355964 date "2022-11-18" @default.
- W4309355964 modified "2023-10-01" @default.
- W4309355964 title "An Explainable Convolutional Neural Network‐Based Method for Skin‐Lesion Classification from Dermoscopic Images" @default.
- W4309355964 cites W1787224781 @default.
- W4309355964 cites W2061253660 @default.
- W4309355964 cites W2061576204 @default.
- W4309355964 cites W2075453908 @default.
- W4309355964 cites W2180648740 @default.
- W4309355964 cites W2404812871 @default.
- W4309355964 cites W2559090303 @default.
- W4309355964 cites W2564782580 @default.
- W4309355964 cites W2578881278 @default.
- W4309355964 cites W2888442043 @default.
- W4309355964 cites W2907688358 @default.
- W4309355964 cites W2911818805 @default.
- W4309355964 cites W2914959431 @default.
- W4309355964 cites W2916845318 @default.
- W4309355964 cites W2922510944 @default.
- W4309355964 cites W2943964494 @default.
- W4309355964 cites W2950072366 @default.
- W4309355964 cites W2953576016 @default.
- W4309355964 cites W2963059730 @default.
- W4309355964 cites W2963946669 @default.
- W4309355964 cites W2996717109 @default.
- W4309355964 cites W3006349040 @default.
- W4309355964 cites W3007392443 @default.
- W4309355964 cites W3008320599 @default.
- W4309355964 cites W3028742747 @default.
- W4309355964 cites W3039860058 @default.
- W4309355964 cites W3085008781 @default.
- W4309355964 doi "https://doi.org/10.1002/9781119861850.ch16" @default.
- W4309355964 hasPublicationYear "2022" @default.
- W4309355964 type Work @default.
- W4309355964 citedByCount "0" @default.
- W4309355964 crossrefType "other" @default.
- W4309355964 hasAuthorship W4309355964A5037118341 @default.
- W4309355964 hasAuthorship W4309355964A5046940335 @default.
- W4309355964 hasAuthorship W4309355964A5048635721 @default.
- W4309355964 hasConcept C108583219 @default.
- W4309355964 hasConcept C142724271 @default.
- W4309355964 hasConcept C153180895 @default.
- W4309355964 hasConcept C154945302 @default.
- W4309355964 hasConcept C158154518 @default.
- W4309355964 hasConcept C16005928 @default.
- W4309355964 hasConcept C17744445 @default.
- W4309355964 hasConcept C199539241 @default.
- W4309355964 hasConcept C2781156865 @default.
- W4309355964 hasConcept C2988168687 @default.
- W4309355964 hasConcept C31972630 @default.
- W4309355964 hasConcept C41008148 @default.
- W4309355964 hasConcept C50644808 @default.
- W4309355964 hasConcept C71924100 @default.
- W4309355964 hasConcept C81363708 @default.
- W4309355964 hasConceptScore W4309355964C108583219 @default.
- W4309355964 hasConceptScore W4309355964C142724271 @default.
- W4309355964 hasConceptScore W4309355964C153180895 @default.
- W4309355964 hasConceptScore W4309355964C154945302 @default.
- W4309355964 hasConceptScore W4309355964C158154518 @default.
- W4309355964 hasConceptScore W4309355964C16005928 @default.
- W4309355964 hasConceptScore W4309355964C17744445 @default.
- W4309355964 hasConceptScore W4309355964C199539241 @default.
- W4309355964 hasConceptScore W4309355964C2781156865 @default.
- W4309355964 hasConceptScore W4309355964C2988168687 @default.
- W4309355964 hasConceptScore W4309355964C31972630 @default.
- W4309355964 hasConceptScore W4309355964C41008148 @default.
- W4309355964 hasConceptScore W4309355964C50644808 @default.
- W4309355964 hasConceptScore W4309355964C71924100 @default.
- W4309355964 hasConceptScore W4309355964C81363708 @default.
- W4309355964 hasLocation W43093559641 @default.
- W4309355964 hasOpenAccess W4309355964 @default.
- W4309355964 hasPrimaryLocation W43093559641 @default.
- W4309355964 hasRelatedWork W2731899572 @default.
- W4309355964 hasRelatedWork W2996856019 @default.
- W4309355964 hasRelatedWork W2999805992 @default.
- W4309355964 hasRelatedWork W3011074480 @default.
- W4309355964 hasRelatedWork W3116150086 @default.
- W4309355964 hasRelatedWork W3133861977 @default.
- W4309355964 hasRelatedWork W4200173597 @default.
- W4309355964 hasRelatedWork W4291897433 @default.
- W4309355964 hasRelatedWork W4312417841 @default.
- W4309355964 hasRelatedWork W4321369474 @default.
- W4309355964 isParatext "false" @default.
- W4309355964 isRetracted "false" @default.
- W4309355964 workType "other" @default.