Statistical analysis of survival models using feature quantification on prostate cancer histopathological images
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چکیده
منابع مشابه
Prostate cancer multi-feature analysis using trans-rectal ultrasound images.
This note focuses on extracting and analysing prostate texture features from trans-rectal ultrasound (TRUS) images for tissue characterization. One of the principal contributions of this investigation is the use of the information of the images' frequency domain features and spatial domain features to attain a more accurate diagnosis. Each image is divided into regions of interest (ROIs) by the...
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ii I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. Abstract The Prostate is a male gland that is located around the urethra. Prostate Cancer is the second most diagnosed malignancy in men over the age o...
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BACKGROUND The Cox Proportional Hazard model is the most popular technique to analysis the effects of covariates on survival time but under certain circumstances parametric models may offer advantages over Cox's model. In this study we use Cox regression and alternative parametric models such as: Weibull, Exponential and Lognormal models to evaluate prognostic factors affecting survival of pati...
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چکیده ندارد.
15 صفحه اولcox models survival analysis based on breast cancer treatments
background: the aim of this study is to evaluate the association between different treatments and survival time of breast cancer patients using either standard cox model or stratified cox model. methods: the study was conducted on 15830 women diagnosed with breast cancer in british columbia, canada. they were divided into eight groups according to patients’ ages and stage of disease either cox...
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ژورنال
عنوان ژورنال: Journal of Pathology Informatics
سال: 2019
ISSN: 2153-3539
DOI: 10.4103/jpi.jpi_85_18