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A deep look into radiomics
Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …
medical images. It is an evolving field of research with many potential applications in …
The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
[ספר][B] Handbook of medical image computing and computer assisted intervention
SK Zhou, D Rueckert, G Fichtinger - 2019 - books.google.com
Handbook of Medical Image Computing and Computer Assisted Intervention presents
important advanced methods and state-of-the art research in medical image computing and …
important advanced methods and state-of-the art research in medical image computing and …
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI)
field. Modern radiation oncology is based on the exploitation of advanced computational …
field. Modern radiation oncology is based on the exploitation of advanced computational …
From handcrafted to deep-learning-based cancer radiomics: challenges and opportunities
Recent advancements in signal processing (SP) and machine learning, coupled with
electronic medical record kee** in hospitals and the availability of extensive sets of …
electronic medical record kee** in hospitals and the availability of extensive sets of …
Beyond imaging: the promise of radiomics
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …
and association with biological or clinical endpoints. The purpose of the present study is to …
Deep learning and radiomics in precision medicine
Introduction: The radiological reading room is undergoing a paradigm shift to a symbiosis of
computer science and radiology using artificial intelligence integrated with machine and …
computer science and radiology using artificial intelligence integrated with machine and …
Rapid review: radiomics and breast cancer
Purpose To perform a rapid review of the recent literature on radiomics and breast cancer
(BC). Methods A rapid review, a streamlined approach to systematically identify and …
(BC). Methods A rapid review, a streamlined approach to systematically identify and …
Radiomics-based prognosis analysis for non-small cell lung cancer
Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative
features from radiological images. Radiomic features have been shown to provide …
features from radiological images. Radiomic features have been shown to provide …
Radiomics in neuro-oncology: Basics, workflow, and applications
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in
patients with brain tumors for routine clinical purposes and the resulting number of imaging …
patients with brain tumors for routine clinical purposes and the resulting number of imaging …