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