نتایج جستجو برای: automated cancer diagnosis
تعداد نتایج: 1435728 فیلتر نتایج به سال:
background: in the last decades cancer has become one of the important causes of death in iran .this study examined perspective of a group of iranian health professionals, patients and patients’ family members regarding their view on disclosure of cancer information at a university hospital in tehran, iran. methods: the method of study was qualitative semi-structured focused group content anal...
BACKGROUND Although colorectal cancer (CRC) prognosis is improved by early diagnosis, screening rates remain low. OBJECTIVE To determine the effect of an automated telephone intervention on completion of fecal occult blood testing (FOBT). RESEARCH DESIGN In this randomized controlled trial conducted at Kaiser Permanente Northwest, a not-for-profit health maintenance organization, 5905 eligi...
Automated and accurate classification of Whole Slide Image (WSI) is great significance for the early diagnosis treatment cancer, which can be realized by Multi-Instance Learning (MIL). However, current MIL method easily suffers from over-fitting due to weak supervision slide-level labels. In addition, it difficult distinguish discriminative instances in a WSI bag absence pixel-level annotations...
--Early detection of cancer disease is a difficult problem and if it is not detected in starting phase the cancer can be fatal. Current medical procedures which are used to diagnose the cancer in body parts are time taking and more laboratory work is required for them. This work is an endeavor to possible recognition of cancer cells in the body part. The process consists of image taken of the a...
AIMS To develop and implement an automated virtual slide screening system that distinguishes normal histological findings and several tissue--based crude (texture-based) diagnoses. THEORETICAL CONSIDERATIONS Virtual slide technology has to handle and transfer images of GB Bytes in size. The performance of tissue based diagnosis can be separated into a) a sampling procedure to allocate the sli...
Background and Aim: Cancer registration based on hospital information, clinically and partaclinically derived data from health centers and labs, may have some shortcomings in recording all cancer cases, especially in the developing countries. Thus, in this study we tried to assess the possibility of using public data concerning cancer incidence among their relatives as a complementary source o...
Pancreatic cancer, a fatal type of has very poor prognosis. To monitor, forecast, and categorise cancer presence, automated pancreatic segmentation classification utilising Computer-Aided Diagnostic (CAD) model can be used. Furthermore, deep learning algorithms provide in-depth diagnostic knowledge precise image analysis for therapeutic usage. In this context, our study aims to develop an Antli...
Background and Objectives: The purpose of this study was to predict the mortality rate of colorectal cancer in Iranian patients and determine the effective factors on the mortality of patients with colorectal cancer using random forest and logistic regression methods. Methods: Data from 304 patients with colorectal cancer registry from the Gastroenterology and Liver Research Center of Shah...
Breast cancer is one of the most frequently occurring cancers amongst women throughout the world. After the diagnosis of the disease, monitoring its progression is important in predicting the chances of long term survival of patients. The Nottingham Prognostic Index (NPI) is one of the most common indices used to categorise the patients into different groups depending upon the severity of the d...
Breast cancer is one of the most frequently occurring cancers amongst women throughout the world. After the diagnosis of the disease, monitoring its progression is important in predicting the chances of long term survival of patients. The Nottingham Prognostic Index (NPI) is one of the most common indices used to categorise the patients into different groups depending upon the severity of the d...
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