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Artificial Intelligence in Medical Image Processing and Segmentation
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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.
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Keywords
- 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
- 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
- CT
- 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
- PA
- 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
Links
DOI: 10.3390/books978-3-0365-8586-4Editions