Results 131 to 140 of about 1,704,527 (233)

Deep Learning and Machine Learning Algorithms for Cervical Cancer Segmentation on MRI: A Systematic Review

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This systematic review summarizes current evidence on machine and deep learning algorithms for MRI‐based cervical cancer segmentation, demonstrating promising diagnostic performance and potential for workflow automation. However, methodological heterogeneity, limited external validation, and low certainty of evidence highlight the need for standardized
Somayeh Haji Ahmadi   +3 more
wiley   +1 more source

Use of ultrasonography in assessing peri‐implant osseous defects: An in vitro study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background The purpose of this study is to investigate the feasibility and diagnostic accuracy of ultrasonography in peri‐implant defect identification and evaluation, and to compare ultrasonography (USG) with cone‐beam computed tomography (CBCT) in defect identification and evaluation in an in vitro model.
Melissa Rachel Fok   +4 more
wiley   +1 more source

Looking at Soil as It Is: Evolution of Microscopic Soil Characterization From Kubiëna to Artificial Intelligence

open access: yesJournal of Plant Nutrition and Soil Science, EarlyView.
We provide a historic overview of microscopic soil structure characterization from its founding father, Walter Kubiëna, to several technical revolutions like automation, digitalization, and artificial intelligence. In addition to technical advancements, we explore how concepts and research questions have evolved in time.
Steffen Schlüter   +3 more
wiley   +1 more source

MIRD Pamphlet No. 34, Part 1: MIRDct-A Customizable Software Tool for CT Dosimetry. [PDF]

open access: yesJ Nucl Med
Ocampo Ramos JC   +11 more
europepmc   +1 more source

Phantoms and Computational Models in Radiation Therapy, Diagnosis and Protection. ICRU RC on Phantoms in Therapy, Diagnosis and Protection

open access: yes, 1990
This Report was prepared in recognition of the fact that the development of realistic body phantoms and computational models is strongly dependent on the availability of comprehensive human anatomical data.
Drexler, G.A., Zankl, M.
core  

Heterogeneity Analyzed by CT‐Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Tumors are highly heterogeneous, and whole‐lesion radiomics analysis is a popular method for extracting texture features that reflect this heterogeneity, which can be used to build models for cancer diagnosis, staging, therapy response evaluation, and prognosis prediction.
Yang Zhang   +2 more
wiley   +1 more source

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