چکیده مقاله
Early cancer detection has significant clinical value, but there remains no single method that can comprehensively identify multiple types of early stage cancer Here, we SDVH Analytics SDVHA is an application to build a local database of treatment planning data for historical comparisons and statistical analysis SDVHA builds a SQ database of SDVHs and various planning parameters from DICOM files i e , Plan, Structure, Dose In addition to viewing SDVH data, this software provides methods to download queried data, cre ate time series plots, calculate correlations, generate multi variable linear & machine learning regressions, and generate control charts
کلیدواژهها
نویسندگان
Erfan Jamshidian
Simon Group, Isfahan, Iran
Sepehr Enteshari
Simon Group, Isfahan, Iran
Elias Karimzadeh
Simon Group, Isfahan, Iran
Fatimah Amini
Simon Group, Isfahan, Iran
Mojtaba Mohammadi
Specialized Researcher, Seta Research Center, Isfahan, Iran
شیوه ارجاع
Jamshidian, Erfan and Enteshari, Sepehr and Karimzadeh, Elias and Amini, Fatimah and Mohammadi, Mojtaba,1402,Analysis and identification of malignant cells with artificial intelligence technique (SDVHA,The first international conference on engineering and information technology
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی مهندسی و فناوری اطلاعات29 آبان 1402