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Título de Acceso Abierto

Advanced Computational Methods for Oncological Image Analysis

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

melanoma detection; deep learning; transfer learning; ensemble classification; 3D-CNN; immunotherapy; radiomics; self-attention; breast imaging; microwave imaging; image reconstruction; segmentation; unsupervised machine learning; k-means clustering; Kolmogorov-Smirnov hypothesis test; statistical inference; performance metrics; contrast source inversion; brain tumor segmentation; magnetic resonance imaging; survey; brain MRI image; tumor region; skull stripping; region growing; U-Net; BRATS dataset; incoherent imaging; clutter rejection; breast cancer detection; MRgFUS; proton resonance frequency shift; temperature variations; referenceless thermometry; RBF neural networks; interferometric optical fibers; breast cancer; risk assessment; machine learning; texture; mammography; medical imaging; imaging biomarkers; bone scintigraphy; prostate cancer; semisupervised classification; false positives reduction; computer-aided detection; breast mass; mass detection; mass segmentation; Mask R-CNN; dataset partition; brain tumor; classification; shallow machine learning; breast cancer diagnosis; Wisconsin Breast Cancer Dataset; feature selection; dimensionality reduction; principal component analysis; ensemble method; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-2555-6

País de edición

Suiza