Name: Basics of Image Processing: The Facts and Challenges of Data Harmonization to Improve Radiomics Reproducibility (en Inglés)
SKU: 56772041
Price: 1378.02 MXN
Availability: InStock
Author: Alberich-Bayarri, Ángel ; Bellvís-Bataller, Fuensanta
ISBN: 9783031484452

portada Basics of Image Processing: The Facts and Challenges of Data Harmonization to Improve Radiomics Reproducibility (en Inglés)

Basics of Image Processing: The Facts and Challenges of Data Harmonization to Improve Radiomics Reproducibility (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Alberich-Bayarri, Ángel ; Bellvís-Bataller, Fuensanta

Idioma

Inglés

N° páginas

166

Encuadernación

Tapa Blanda

Dimensiones

19.8x12.2x1 cm

Peso

0.25 kg.

ISBN13

9783031484452

Categorías

Anatomía
Fisiología
Radioterapia
Medicina nuclear
Técnicas de diagnóstico por la imagen: radiología
Biología, ciencias de la vida

Basics of Image Processing: The Facts and Challenges of Data Harmonization to Improve Radiomics Reproducibility (en Inglés)

Alberich-Bayarri, Ángel ; Bellvís-Bataller, Fuensanta (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 24 a 29 días háb.

$ 2,756.03$ 1,378.02

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 1,378.02

¡Envío Gratis! Llega entre el 07 Oct y el 15 Oct a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Basics of Image Processing: The Facts and Challenges of Data Harmonization to Improve Radiomics Reproducibility (en Inglés)"

This book, endorsed by EuSoMII, provides clinicians, researchers and scientists a useful handbook to navigate the intricate landscape of data harmonization, as we embark on a journey to improve the reproducibility, robustness and generalizability of multi-centric real-world data radiomic studies. In these pages, the authors delve into the foundational principles of radiomics and its far-reaching implications for precision medicine. They describe the different methodologies used in extracting quantitative features from medical images, the building blocks that enable the transformation of images into actionable predictions. This book sweeps from understanding the basis of harmonization to the implementation of all the knowledge acquired to date, with the aim of conveying the importance of harmonizing medical data and providing a useful guidance to enable its applicability and the future use of advanced radiomics-based models in routine clinical practice. As authors embark on this exploration of data harmonization in radiomics, they hope to ignite discussions, foster new ideas, and inspire researchers, clinicians, and scientists alike to embrace the challenges and opportunities that lie ahead. Together, they elevate radiomics as a reproducible technology and establish it as an indispensable and actionable tool in the quest for improved cancer diagnosis and treatment.