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Artificial Intelligence Applied to Medical Imaging and Computational Biology

Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that general...

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Bibliographic Details
Main Author: Rundo, Leonardo
Other Authors: Militello, Carmelo, Tangherloni, Andrea
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Accuracy
Clinical Feasibility
Nature-inspired Techniques
Distribution Patterns
N/a
Mandible
Tumor Infiltration
Fine Tactile Sensation
Orthopedics
Quantification
Deep Learning
Multivariate Vmd
Vectorcardiogram
Microwave Breast Imaging
Technology: General Issues / Bicssc
Glioblastoma
Electroencephalography
Brain Metastasis
Radiosurgery
Breast Cancer
Brain Tumors
Magnetic Resonance Imaging
Research & Information: General / Bicssc
Histopathology
Craniomaxillofacial Bone
Biology, Life Sciences / Bicssc
Hct-8 Colon-cancer Cells
Choroidal Neovascularization
Convolutional Neural Networks
Age-related Macular Degeneration
Myocardial Infarction
Evaluation
Breast Cancer Detection
Unsupervised Segmentation
Deep Cnn
Segmentation
Medical Image Segmentation
Lung Cancer
Stroke
Computer-assisted Segmentation
Oxygenation
Artificial Intelligence
First-in-human (fih) Study
Semantic Segmentation
Image Classification
Optical Coherence Tomography Angiography
Fibroblast Cells
Multi-center
Pattern Recognition
Supervised Segmentation
Triceps Surae Muscle
Computer-aided Diagnosis (cad)
Neural Network
Image Segmentation
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that generally involve machine learning or computational intelligence techniques, which can effectively perform bioimage and biosignal processing in different clinical areas.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (224 p.)
ISBN:books978-3-0365-6488-3
9783036564876
9783036564883

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