2020
DOI: 10.1007/978-981-15-5397-4_18
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Review on the Methodologies for Image Segmentation Based on CNN

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Cited by 5 publications
(4 citation statements)
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“…As AIs have developed, CNNs have been used in speech recognition 19 , face recognition 20 , image recognition 14 , motion analysis 7 , motion analysis 21 , image segmentation 22 , natural language processing 23 and EEG analysis 5 .…”
Section: Convolutional Neural Networkmentioning
confidence: 99%
“…As AIs have developed, CNNs have been used in speech recognition 19 , face recognition 20 , image recognition 14 , motion analysis 7 , motion analysis 21 , image segmentation 22 , natural language processing 23 and EEG analysis 5 .…”
Section: Convolutional Neural Networkmentioning
confidence: 99%
“…Objective assessment techniques such as the Jaccard Coefficient (J.C.), Volume of Similarity (V.S. ), and others are used to evaluate segmentation models (8,9) . The result obtained using quality metrics for both the proposed model B.G.M.M and the existing G.M.M with the E.M. model is tabulated in Table 1.…”
Section: Uci and Bio-well Datasetmentioning
confidence: 99%
“…The indicator of the right image is a result of segmentation. Segmentation is a stage that aims to partition/divide the image [18] [19] into several main parts that contain important information. Recognition of objects in the image requires parameters that can characterize the object [6].…”
Section: Image Segmentationmentioning
confidence: 99%