This module lets the user to connect, query, retrieve and review DICOM studies stored in the system from anywhere in the world and it can be used as a free cloud server! The web server supports SSL secure connections. The Web Server module, for these connections, uses the HTTP ot HTTPS protocol of the internet and the remote user must use a web browser like Edge, Chrome or Mozilla to query and retrieve studies. The Web Server module lets remote users of the system to connect with it, query and retrieve studies that have been stored in the database of the DICOM Server. The built-in Worklist server module can receive via HL7 communication messages the patients demographics and scheduling information of exams that are stored in a HIS/RIS system (Hospital Information System / Radiology Information System) and transfer them to any modality/medical scanner via DICOM communication protocols (C-FIND). Moreover, it supports unlimited number of connections with unlimited number of DICOM nodes and DICOM clients. The built-in DICOM server supports all the DICOM network services (C-FIND SCU/SCP, C-MOVE SCU/SCP, C-STORE SCU/SCP, C-GET SCU/SCP, C-ECHO SCU/SCP), it is compatible with all the modalities (CT, MR, NM, US, XA, MG, CR, DX etc.), all manufacturers and all DICOM 3.0 and NEMA 2 file types. The program uses the Postgres SQL server for database management and offers storage of unlimited number of patients/studies/series/images (it depends only on hard disk size). The built-in web server can be used as a free cloud server for DICOM files! Reviewing the DICOM images can be done using the Sante PACS Viewer (the Built-in full-featured DICOM viewer of the system). It provides connectivity to all DICOM modalities (CT, MR, US, CR, NM, XA, MG, DX etc.). Sante PACS Server is a DICOM 3.0 compliant PACS server, a Modality Worklist server, an HTTP (web) server for DICOM files and a CD/DVD Burning and Printing server that offers high performance and reliability at an affordable price. Free Download Sante PACS Server 3.3.7 | 189.4 Mb
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MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.Ī summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function. MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. One of the most important features of MedCalc is related to its ROC curve analysis capabilities. The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information. The information can be easily sorted, filtered or edited. With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc 22.016 Multilingual | Size: 52.31 MB Intuitive user interface elements display information by using green/yellow/red color to indicate the level of problem. Quick controls allow easy navigation to access all hard disks, partitions and different information.
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