Computational Medical Image Analysis

This Special Issue covers a variety of computational applications in medical image analysis. With a vast majority of the articles reporting on machine learning or deep learning-based methodologies, it highlights the transistion toward artificial intelligence over the past decade.

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Dades bibliogràfiques
Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Matèries:	chaotic attractors computer vision disease diagnosis encryption computer-assisted diagnosis convolutional neural networks compressed sensing holography cardiac cine MRI l1-norm smooth approximations hyperbolic tangent function soft thresholding breast cancer detection magnification dependent histopathology BreakHis IDC Xception model ResNet50 model EfficientNetB0 40× medical image dataset analysis diagnosis machine learning deep learning classification digital pathology histology image analysis infrared thermal segmentation regional neuraxial analgesia random fourier features class activation maps artificial intelligence oral health X-ray imaging electrophysiological (EEG) signals support vector machine random forest decision tree AdaBoost Naive Bayes linear discriminant analysis (LDA) attention deficit hyperactivity disorder (ADHD) skin cancer image augmentation GAN geometric augmentation image classification interpretable technique wound monitoring hybrid learning image segmentation superpixel regression virtual DSC-MRI examination perfusion descriptors tracer concentration curves brain model pathology simulation deep features COVID-19 CT scan n/a thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
Accés en línia:	ONIX_20240704_9783725813940_223
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Computational Medical Image Analysis

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