Biomedical Image Processing and Classification
Biomedical image processing is an interdisciplinary field involving a variety of disciplines, e.g., electronics, computer science, physics, mathematics, physiology, and medicine. Several imaging techniques have been developed, providing many approaches to the study of the human body. Biomedical imag...
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| Materialtyp: | Online |
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| Språk: | engelska |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Länkar: | ONIX_20220111_9783036503462_71 |
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| _version_ | 1869526130976882688 |
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| collection | Directory of Open Access Books |
| description | Biomedical image processing is an interdisciplinary field involving a variety of disciplines, e.g., electronics, computer science, physics, mathematics, physiology, and medicine. Several imaging techniques have been developed, providing many approaches to the study of the human body. Biomedical image processing is finding an increasing number of important applications in, for example, the study of the internal structure or function of an organ and the diagnosis or treatment of a disease. If associated with classification methods, it can support the development of computer-aided diagnosis (CAD) systems, which could help medical doctors in refining their clinical picture. |
| format | Online |
| id | doab-20.500.12854ir-76335 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-763352024-04-09T23:15:32Z Biomedical Image Processing and Classification Mesin, Luca MR brain segmentation fuzzy clustering object extraction silhouette analysis DICOM processing 3D modeling semantic segmentation convolutional neural networks kidney biopsy kidney transplantation glomerulus detection glomerulosclerosis pattern recognition hemoglobin anemia human tissues conjunctiva non-invasive medical device training size deep learning convolutional neural network U-Net segmentation artificial intelligence digital pathology kidney fibrosis blood vessel segmentation inferior vena cava ultrasound imaging binary tree model pulsatility fluid volume assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Biomedical image processing is an interdisciplinary field involving a variety of disciplines, e.g., electronics, computer science, physics, mathematics, physiology, and medicine. Several imaging techniques have been developed, providing many approaches to the study of the human body. Biomedical image processing is finding an increasing number of important applications in, for example, the study of the internal structure or function of an organ and the diagnosis or treatment of a disease. If associated with classification methods, it can support the development of computer-aided diagnosis (CAD) systems, which could help medical doctors in refining their clinical picture. 2022-01-11T13:29:05Z 2022-01-11T13:29:05Z 2021 book ONIX_20220111_9783036503462_71 9783036503462 9783036503479 https://directory.doabooks.org/handle/20.500.12854/76335 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3755 https://mdpi.com/books/pdfview/book/3755 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0347-9 10.3390/books978-3-0365-0347-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036503462 9783036503479 116 Basel, Switzerland open access |
| spellingShingle | MR brain segmentation fuzzy clustering object extraction silhouette analysis DICOM processing 3D modeling semantic segmentation convolutional neural networks kidney biopsy kidney transplantation glomerulus detection glomerulosclerosis pattern recognition hemoglobin anemia human tissues conjunctiva non-invasive medical device training size deep learning convolutional neural network U-Net segmentation artificial intelligence digital pathology kidney fibrosis blood vessel segmentation inferior vena cava ultrasound imaging binary tree model pulsatility fluid volume assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Biomedical Image Processing and Classification |
| title | Biomedical Image Processing and Classification |
| title_full | Biomedical Image Processing and Classification |
| title_fullStr | Biomedical Image Processing and Classification |
| title_full_unstemmed | Biomedical Image Processing and Classification |
| title_short | Biomedical Image Processing and Classification |
| title_sort | biomedical image processing and classification |
| topic | MR brain segmentation fuzzy clustering object extraction silhouette analysis DICOM processing 3D modeling semantic segmentation convolutional neural networks kidney biopsy kidney transplantation glomerulus detection glomerulosclerosis pattern recognition hemoglobin anemia human tissues conjunctiva non-invasive medical device training size deep learning convolutional neural network U-Net segmentation artificial intelligence digital pathology kidney fibrosis blood vessel segmentation inferior vena cava ultrasound imaging binary tree model pulsatility fluid volume assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | MR brain segmentation fuzzy clustering object extraction silhouette analysis DICOM processing 3D modeling semantic segmentation convolutional neural networks kidney biopsy kidney transplantation glomerulus detection glomerulosclerosis pattern recognition hemoglobin anemia human tissues conjunctiva non-invasive medical device training size deep learning convolutional neural network U-Net segmentation artificial intelligence digital pathology kidney fibrosis blood vessel segmentation inferior vena cava ultrasound imaging binary tree model pulsatility fluid volume assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036503462_71 |