Image Processing and Analysis for Preclinical and Clinical Applications
Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both p...
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| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20230220_9783036550138_61 |
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| _version_ | 1869525890262630400 |
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| collection | Directory of Open Access Books |
| description | Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, “Image Processing and Analysis for Preclinical and Clinical Applications”, addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis. |
| format | Online |
| id | doab-20.500.12854ir-97458 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-974582024-03-28T03:32:55Z Image Processing and Analysis for Preclinical and Clinical Applications Stefano, Alessandro Comelli, Albert Vernuccio, Federica deep learning segmentation prostate MRI ENet UNet ERFNet radiomics gamma knife imaging quantification [11C]-methionine positron emission tomography cancer atrial fibrillation 4D-flow stasis pulmonary vein ablation convolutional neural network transfer learning maxillofacial fractures computed tomography images radiography xenotransplant cancer cells zebrafish image analysis in vivo assay convolutional neural network (CNN) magnetic resonance imaging (MRI) neoadjuvant chemoradiation therapy (nCRT) pathologic complete response (pCR) rectal cancer radiomics feature robustness PET/MRI co-registration image registration fundus image feature extraction glomerular filtration rate Gate’s method renal depth computed tomography computer-aided diagnosis medical-image analysis automated prostate-volume estimation abdominal ultrasound images image-patch voting soft tissue sarcoma volume estimation artificial intelligence Basal Cell Carcinoma skin lesion classification colon positron emission tomography-computed tomography nuclear medicine image pre-processing high-level synthesis X-ray pre-processing pipelined architecture n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PN Chemistry Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, “Image Processing and Analysis for Preclinical and Clinical Applications”, addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis. 2023-02-20T16:45:29Z 2023-02-20T16:45:29Z 2022 book ONIX_20230220_9783036550138_61 9783036550138 9783036550145 https://directory.doabooks.org/handle/20.500.12854/97458 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5993 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5014-5 10.3390/books978-3-0365-5014-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036550138 9783036550145 228 Basel open access |
| spellingShingle | deep learning segmentation prostate MRI ENet UNet ERFNet radiomics gamma knife imaging quantification [11C]-methionine positron emission tomography cancer atrial fibrillation 4D-flow stasis pulmonary vein ablation convolutional neural network transfer learning maxillofacial fractures computed tomography images radiography xenotransplant cancer cells zebrafish image analysis in vivo assay convolutional neural network (CNN) magnetic resonance imaging (MRI) neoadjuvant chemoradiation therapy (nCRT) pathologic complete response (pCR) rectal cancer radiomics feature robustness PET/MRI co-registration image registration fundus image feature extraction glomerular filtration rate Gate’s method renal depth computed tomography computer-aided diagnosis medical-image analysis automated prostate-volume estimation abdominal ultrasound images image-patch voting soft tissue sarcoma volume estimation artificial intelligence Basal Cell Carcinoma skin lesion classification colon positron emission tomography-computed tomography nuclear medicine image pre-processing high-level synthesis X-ray pre-processing pipelined architecture n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PN Chemistry Image Processing and Analysis for Preclinical and Clinical Applications |
| title | Image Processing and Analysis for Preclinical and Clinical Applications |
| title_full | Image Processing and Analysis for Preclinical and Clinical Applications |
| title_fullStr | Image Processing and Analysis for Preclinical and Clinical Applications |
| title_full_unstemmed | Image Processing and Analysis for Preclinical and Clinical Applications |
| title_short | Image Processing and Analysis for Preclinical and Clinical Applications |
| title_sort | image processing and analysis for preclinical and clinical applications |
| topic | deep learning segmentation prostate MRI ENet UNet ERFNet radiomics gamma knife imaging quantification [11C]-methionine positron emission tomography cancer atrial fibrillation 4D-flow stasis pulmonary vein ablation convolutional neural network transfer learning maxillofacial fractures computed tomography images radiography xenotransplant cancer cells zebrafish image analysis in vivo assay convolutional neural network (CNN) magnetic resonance imaging (MRI) neoadjuvant chemoradiation therapy (nCRT) pathologic complete response (pCR) rectal cancer radiomics feature robustness PET/MRI co-registration image registration fundus image feature extraction glomerular filtration rate Gate’s method renal depth computed tomography computer-aided diagnosis medical-image analysis automated prostate-volume estimation abdominal ultrasound images image-patch voting soft tissue sarcoma volume estimation artificial intelligence Basal Cell Carcinoma skin lesion classification colon positron emission tomography-computed tomography nuclear medicine image pre-processing high-level synthesis X-ray pre-processing pipelined architecture n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PN Chemistry |
| topic_facet | deep learning segmentation prostate MRI ENet UNet ERFNet radiomics gamma knife imaging quantification [11C]-methionine positron emission tomography cancer atrial fibrillation 4D-flow stasis pulmonary vein ablation convolutional neural network transfer learning maxillofacial fractures computed tomography images radiography xenotransplant cancer cells zebrafish image analysis in vivo assay convolutional neural network (CNN) magnetic resonance imaging (MRI) neoadjuvant chemoradiation therapy (nCRT) pathologic complete response (pCR) rectal cancer radiomics feature robustness PET/MRI co-registration image registration fundus image feature extraction glomerular filtration rate Gate’s method renal depth computed tomography computer-aided diagnosis medical-image analysis automated prostate-volume estimation abdominal ultrasound images image-patch voting soft tissue sarcoma volume estimation artificial intelligence Basal Cell Carcinoma skin lesion classification colon positron emission tomography-computed tomography nuclear medicine image pre-processing high-level synthesis X-ray pre-processing pipelined architecture n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PN Chemistry |
| url | ONIX_20230220_9783036550138_61 |