Journal of X-Ray Science and Technology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Ting Fang Naijia Liu Shengdong Nie Shouqiang Jia Xiaodan Ye Source Type: research
Multiple energy X-ray imaging of metal oxide particles inside gingival tissues
CONCLUSIONS: Different metal oxide particles were differentiated using Contrast-to-Noise ratio (CNR) by utilizing four different X-ray spectra.PMID:37980595 | DOI:10.3233/XST-230175 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Jarrod Cortez Ignacio Romero Jason Ngo Md Sayed Tanveer Azam Chuang Niu C ássio Luiz Coutinho Almeida-da-Silva Leticia Ferreira Cabido David M Ojcius Wei-Chun Chin Ge Wang Changqing Li Source Type: research
Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
CONCLUSION: This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.PMID:37980593 | DOI:10.3233/XST-230111 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: A Chempak Kumar D Muhammad Noorul Mubarak Source Type: research
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Ting Fang Naijia Liu Shengdong Nie Shouqiang Jia Xiaodan Ye Source Type: research
Multiple energy X-ray imaging of metal oxide particles inside gingival tissues
CONCLUSIONS: Different metal oxide particles were differentiated using Contrast-to-Noise ratio (CNR) by utilizing four different X-ray spectra.PMID:37980595 | DOI:10.3233/XST-230175 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Jarrod Cortez Ignacio Romero Jason Ngo Md Sayed Tanveer Azam Chuang Niu C ássio Luiz Coutinho Almeida-da-Silva Leticia Ferreira Cabido David M Ojcius Wei-Chun Chin Ge Wang Changqing Li Source Type: research
Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
CONCLUSION: This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.PMID:37980593 | DOI:10.3233/XST-230111 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: A Chempak Kumar D Muhammad Noorul Mubarak Source Type: research
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Ting Fang Naijia Liu Shengdong Nie Shouqiang Jia Xiaodan Ye Source Type: research
Multiple energy X-ray imaging of metal oxide particles inside gingival tissues
CONCLUSIONS: Different metal oxide particles were differentiated using Contrast-to-Noise ratio (CNR) by utilizing four different X-ray spectra.PMID:37980595 | DOI:10.3233/XST-230175 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Jarrod Cortez Ignacio Romero Jason Ngo Md Sayed Tanveer Azam Chuang Niu C ássio Luiz Coutinho Almeida-da-Silva Leticia Ferreira Cabido David M Ojcius Wei-Chun Chin Ge Wang Changqing Li Source Type: research
Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
CONCLUSION: This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.PMID:37980593 | DOI:10.3233/XST-230111 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: A Chempak Kumar D Muhammad Noorul Mubarak Source Type: research
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Ting Fang Naijia Liu Shengdong Nie Shouqiang Jia Xiaodan Ye Source Type: research
Multiple energy X-ray imaging of metal oxide particles inside gingival tissues
CONCLUSIONS: Different metal oxide particles were differentiated using Contrast-to-Noise ratio (CNR) by utilizing four different X-ray spectra.PMID:37980595 | DOI:10.3233/XST-230175 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Jarrod Cortez Ignacio Romero Jason Ngo Md Sayed Tanveer Azam Chuang Niu C ássio Luiz Coutinho Almeida-da-Silva Leticia Ferreira Cabido David M Ojcius Wei-Chun Chin Ge Wang Changqing Li Source Type: research
Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
CONCLUSION: This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.PMID:37980593 | DOI:10.3233/XST-230111 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: A Chempak Kumar D Muhammad Noorul Mubarak Source Type: research
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Ting Fang Naijia Liu Shengdong Nie Shouqiang Jia Xiaodan Ye Source Type: research
Multiple energy X-ray imaging of metal oxide particles inside gingival tissues
CONCLUSIONS: Different metal oxide particles were differentiated using Contrast-to-Noise ratio (CNR) by utilizing four different X-ray spectra.PMID:37980595 | DOI:10.3233/XST-230175 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Jarrod Cortez Ignacio Romero Jason Ngo Md Sayed Tanveer Azam Chuang Niu C ássio Luiz Coutinho Almeida-da-Silva Leticia Ferreira Cabido David M Ojcius Wei-Chun Chin Ge Wang Changqing Li Source Type: research
Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
CONCLUSION: This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.PMID:37980593 | DOI:10.3233/XST-230111 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: A Chempak Kumar D Muhammad Noorul Mubarak Source Type: research