Details
- Autor(en) / Beteiligte
- Titel
- Artificial Intelligence in Medical Image Processing and Segmentation
- Ort / Verlag
- MDPI - Multidisciplinary Digital Publishing Institute
- Erscheinungsjahr
- 2023
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 3036585869, 9783036585864, 9783036585871, 3036585877DOI: 10.3390/books978-3-0365-8586-4Titel-ID: cdi_oapen_doabooks_113993
- Format
- –
- Schlagworte
- 2D ultrasound image, 2D/3D registration, 3D virtual reconstruction, ALO, artificial hummingbird algorithm, artificial intelligence, artificial neural network (ANN), attention mechanism, auto-segmentation, automatic volume measurement, Book Industry Communication, breast cancer, breast density, CAD, canonical correlation analysis (CCA), carbon ion radiotherapy, CBCT, cervical cancer, cervical net, children, CNN, comparison, computer vision applications, convolutional neural network, Convolutional Neural Networks, Cranio-Maxillofacial surgery, DarkNet-19, deep learning, deep learning structures, DICOM, directional total variation, disease discrimination accuracy, dual-energy CT, edge computing, ensemble learning, feature fusion, feature selection, fundus image, GAN, Grad-CAM, hematoxylin eosin, histopathological, histopathology, histopathology images, History of engineering & technology, image enhancement, image inpainting, image normalization, image preprocessing, image registration, image segmentation, image-guided radiotherapy, in-house, instance segmentation, k-nearest neighbour (KNN), lesion segmentation, limited-angular range, loss function, magnetic resonance imaging, mandible, mask-transformer-based networks, medical image analysis, medical imaging, mitotic nuclei classification, MobileNet, mp-MRI, MRI, MRI guidance, MRI-only, multi-contrast MRI, NasNet, neuroimaging, nuclei detection, nuclei segmentation, OCT, orthogonal X-ray, osteoarthritis, ovarian tumor, panoptic segmentation, panoramic radiographs, pap smear, particle therapy, patch size, PCA, PCNSL, performance comparisons, prostate cancer, prostate segmentation, pyramidal network, radiomics, random forest (RF), rare neurodevelopmental disorder, rare tumor, ResNet-101, safranin O fast green, scale-adaptive, segmentation, semantic segmentation, shuffle net, ShuffleNet, software, support vector machine, support vector machine (SVM), synthetic CT, Technology, engineering, agriculture, Technology: general issues, teeth segmentation, textural, tooth disease recognition, tuberous sclerosis complex, two-step method, U-Net, ultrasound bladder scanner, urinary disease