Artificial Intelligence in Medical Image Processing and Segmentation
This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Aiheet: | |
| Linkit: | ONIX_20230911_9783036585871_126 |
| Tagit: |
Ei tageja, Lisää ensimmäinen tagi!
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| _version_ | 1863740795328135168 |
|---|---|
| collection | Directory of Open Access Books |
| description | This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios. |
| format | Online |
| id | doab-20.500.12854ir-113993 |
| 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-1139932024-04-09T23:16:11Z Artificial Intelligence in Medical Image Processing and Segmentation Zaffino, Paolo Spadea, Maria Francesca fundus image image registration deep learning computer vision applications nuclei segmentation histopathology Grad-CAM semantic segmentation instance segmentation nuclei detection pap smear cervical net shuffle net canonical correlation analysis (CCA) support vector machine (SVM) random forest (RF) k-nearest neighbour (KNN) artificial neural network (ANN) dual-energy CT two-step method limited-angular range directional total variation PA CNN tooth disease recognition image segmentation image preprocessing breast cancer mitotic nuclei classification histopathology images artificial hummingbird algorithm medical imaging cervical cancer feature fusion feature selection deep learning structures support vector machine disease discrimination accuracy performance comparisons 2D/3D registration orthogonal X-ray breast density CAD image enhancement textural auto-segmentation neuroimaging magnetic resonance imaging ovarian tumor 2D ultrasound image image inpainting lesion segmentation attention mechanism GAN medical image analysis synthetic CT MRI guidance MRI-only image-guided radiotherapy carbon ion radiotherapy particle therapy rare tumor PCNSL radiomics image normalization MRI prostate cancer prostate segmentation U-Net mp-MRI loss function automatic volume measurement ultrasound bladder scanner edge computing urinary disease artificial intelligence mandible segmentation 3D virtual reconstruction CBCT CT Convolutional Neural Networks comparison in-house software patch size Cranio-Maxillofacial surgery DICOM osteoarthritis histopathological hematoxylin eosin safranin O fast green DarkNet-19 MobileNet NasNet ResNet-101 ShuffleNet PCA ALO ensemble learning OCT pyramidal network scale-adaptive teeth segmentation panoramic radiographs mask-transformer-based networks panoptic segmentation tuberous sclerosis complex children convolutional neural network multi-contrast MRI rare neurodevelopmental disorder thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios. 2023-09-11T12:19:47Z 2023-09-11T12:19:47Z 2023 book ONIX_20230911_9783036585871_126 9783036585871 9783036585864 https://directory.doabooks.org/handle/20.500.12854/113993 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7837 https://mdpi.com/books/pdfview/book/7837 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8586-4 10.3390/books978-3-0365-8586-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036585871 9783036585864 348 open access |
| spellingShingle | fundus image image registration deep learning computer vision applications nuclei segmentation histopathology Grad-CAM semantic segmentation instance segmentation nuclei detection pap smear cervical net shuffle net canonical correlation analysis (CCA) support vector machine (SVM) random forest (RF) k-nearest neighbour (KNN) artificial neural network (ANN) dual-energy CT two-step method limited-angular range directional total variation PA CNN tooth disease recognition image segmentation image preprocessing breast cancer mitotic nuclei classification histopathology images artificial hummingbird algorithm medical imaging cervical cancer feature fusion feature selection deep learning structures support vector machine disease discrimination accuracy performance comparisons 2D/3D registration orthogonal X-ray breast density CAD image enhancement textural auto-segmentation neuroimaging magnetic resonance imaging ovarian tumor 2D ultrasound image image inpainting lesion segmentation attention mechanism GAN medical image analysis synthetic CT MRI guidance MRI-only image-guided radiotherapy carbon ion radiotherapy particle therapy rare tumor PCNSL radiomics image normalization MRI prostate cancer prostate segmentation U-Net mp-MRI loss function automatic volume measurement ultrasound bladder scanner edge computing urinary disease artificial intelligence mandible segmentation 3D virtual reconstruction CBCT CT Convolutional Neural Networks comparison in-house software patch size Cranio-Maxillofacial surgery DICOM osteoarthritis histopathological hematoxylin eosin safranin O fast green DarkNet-19 MobileNet NasNet ResNet-101 ShuffleNet PCA ALO ensemble learning OCT pyramidal network scale-adaptive teeth segmentation panoramic radiographs mask-transformer-based networks panoptic segmentation tuberous sclerosis complex children convolutional neural network multi-contrast MRI rare neurodevelopmental disorder thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Artificial Intelligence in Medical Image Processing and Segmentation |
| title | Artificial Intelligence in Medical Image Processing and Segmentation |
| title_full | Artificial Intelligence in Medical Image Processing and Segmentation |
| title_fullStr | Artificial Intelligence in Medical Image Processing and Segmentation |
| title_full_unstemmed | Artificial Intelligence in Medical Image Processing and Segmentation |
| title_short | Artificial Intelligence in Medical Image Processing and Segmentation |
| title_sort | artificial intelligence in medical image processing and segmentation |
| topic | fundus image image registration deep learning computer vision applications nuclei segmentation histopathology Grad-CAM semantic segmentation instance segmentation nuclei detection pap smear cervical net shuffle net canonical correlation analysis (CCA) support vector machine (SVM) random forest (RF) k-nearest neighbour (KNN) artificial neural network (ANN) dual-energy CT two-step method limited-angular range directional total variation PA CNN tooth disease recognition image segmentation image preprocessing breast cancer mitotic nuclei classification histopathology images artificial hummingbird algorithm medical imaging cervical cancer feature fusion feature selection deep learning structures support vector machine disease discrimination accuracy performance comparisons 2D/3D registration orthogonal X-ray breast density CAD image enhancement textural auto-segmentation neuroimaging magnetic resonance imaging ovarian tumor 2D ultrasound image image inpainting lesion segmentation attention mechanism GAN medical image analysis synthetic CT MRI guidance MRI-only image-guided radiotherapy carbon ion radiotherapy particle therapy rare tumor PCNSL radiomics image normalization MRI prostate cancer prostate segmentation U-Net mp-MRI loss function automatic volume measurement ultrasound bladder scanner edge computing urinary disease artificial intelligence mandible segmentation 3D virtual reconstruction CBCT CT Convolutional Neural Networks comparison in-house software patch size Cranio-Maxillofacial surgery DICOM osteoarthritis histopathological hematoxylin eosin safranin O fast green DarkNet-19 MobileNet NasNet ResNet-101 ShuffleNet PCA ALO ensemble learning OCT pyramidal network scale-adaptive teeth segmentation panoramic radiographs mask-transformer-based networks panoptic segmentation tuberous sclerosis complex children convolutional neural network multi-contrast MRI rare neurodevelopmental disorder thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | fundus image image registration deep learning computer vision applications nuclei segmentation histopathology Grad-CAM semantic segmentation instance segmentation nuclei detection pap smear cervical net shuffle net canonical correlation analysis (CCA) support vector machine (SVM) random forest (RF) k-nearest neighbour (KNN) artificial neural network (ANN) dual-energy CT two-step method limited-angular range directional total variation PA CNN tooth disease recognition image segmentation image preprocessing breast cancer mitotic nuclei classification histopathology images artificial hummingbird algorithm medical imaging cervical cancer feature fusion feature selection deep learning structures support vector machine disease discrimination accuracy performance comparisons 2D/3D registration orthogonal X-ray breast density CAD image enhancement textural auto-segmentation neuroimaging magnetic resonance imaging ovarian tumor 2D ultrasound image image inpainting lesion segmentation attention mechanism GAN medical image analysis synthetic CT MRI guidance MRI-only image-guided radiotherapy carbon ion radiotherapy particle therapy rare tumor PCNSL radiomics image normalization MRI prostate cancer prostate segmentation U-Net mp-MRI loss function automatic volume measurement ultrasound bladder scanner edge computing urinary disease artificial intelligence mandible segmentation 3D virtual reconstruction CBCT CT Convolutional Neural Networks comparison in-house software patch size Cranio-Maxillofacial surgery DICOM osteoarthritis histopathological hematoxylin eosin safranin O fast green DarkNet-19 MobileNet NasNet ResNet-101 ShuffleNet PCA ALO ensemble learning OCT pyramidal network scale-adaptive teeth segmentation panoramic radiographs mask-transformer-based networks panoptic segmentation tuberous sclerosis complex children convolutional neural network multi-contrast MRI rare neurodevelopmental disorder thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230911_9783036585871_126 |