Results 11 to 20 of about 22,509,590 (296)
Histogram Analysis of Computed Tomography Images for Quantitative Assessment of Gastric Cancer Invasiveness [PDF]
İstanbul Medical Journal, 2021 Introduction:To explore the role of computed tomography (CT) texture analysis in predicting T-stage of gastric cancers (GC).Methods:Preoperative enhanced CT images of 110 patients (men: 84, women: 26) with GC were reviewed retrospectively.
Aytül Hande Yardımcı +4 more
doaj +2 more sources
Weighted Histogram for a Meta-Analysis App
, 2023 Welcome to the Weighted Histogram for a Meta-Analysis (WHaM) shiny app that will help you design a weighted histogram to help visualize your distribution of effect sizes for your meta-analysis.
Felix Wu +3 more
core +9 more sources
IEEE Access, 2022 Communication has become a lot easier in this era of technology, development of high-speed computer networks, and the inexpensive uses of Internet. Therefore, data transmission has become vulnerable to and unsafe from different external attacks.
Shahid Rahman +5 more
doaj +1 more source
Apparent diffusion coefficient histogram analysis for predicting neoadjuvant chemoradiotherapy response in patients with rectal cancer [PDF]
, 2022 PURPOSE: This study aimed to retrospectively evaluate the apparent diffusion coefficient (ADC) histograms in predicting chemoradiotherapy (CRT) response in patients with locally advanced rectal cancer (LARC). METHODS: A total of 51 patients who underwent
Ayşe Erden +5 more
core +1 more source
Diagnostics, 2022 The aim of this study is to investigate the possibility of predicting histological grade in patients with endometrial cancer on the basis of intravoxel incoherent motion (IVIM)-related histogram analysis parameters.
Evangelia G. Chryssou +7 more
doaj +1 more source
Analysis of uncertain data: Smoothing of histograms [PDF]
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009 We consider the problem of converting a set of numeric data points into a smoothed approximation of the underlying probability distribution. We describe a representation of distributions by histograms with variable-width bars, and give a greedy smoothing algorithm based on this representation.
Eugene Fink +2 more
openaire +1 more source
Frontiers in Surgery, 2021 Objective: The present study aimed to explore the application value of magnetic resonance imaging (MRI) histograms with multiple sequences in the preoperative differential diagnosis of endometrial stromal sarcoma (ESS) and degenerative hysteromyoma (DH ...
Xiao-Nan Zhang +6 more
doaj +1 more source
Cancer Medicine, 2021 Objectives To investigate the diagnostic value of contrast‐enhanced computed tomography (CECT) histogram analysis in predicting the World Health Organization (WHO) grade of rectal neuroendocrine tumors (R‐NETs). Materials and Methods A total of 61 (35 G1,
Ping Liang +8 more
doaj +1 more source
Frontiers in Oncology, 2023 PurposeTo investigate the value of whole-volume apparent diffusion coefficient (ADC) histogram analysis in preoperatively distinguishing intracranial solitary fibrous tumors (SFT) from transitional meningiomas (TM), thereby assisting the establishment of
Gang Wang +3 more
doaj +1 more source
Frontiers in Oncology, 2022 ObjectivesTo investigate the image quality and diagnostic capability a of whole-lesion histogram and texture analysis of advanced ZOOMit (A-ZOOMit) and simultaneous multislice readout-segmented echo-planar imaging (SMS-RS-EPI) to differentiate benign ...
Kun Sun +10 more
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