نتایج جستجو برای: automated cancer diagnosis

تعداد نتایج: 1435728  

Journal: :iranian journal of cancer prevention 0
n beyraghi neurofunctional and neurosurgery research centre, shahid beheshti university of medical sciences, tehran, iran y mottaghipour dept. of psychiatry, shahid beheshti university of medical sciences, tehran, iran a mehraban neurofunctional and neurosurgery research centre, shahid beheshti university of medical sciences, tehran, iran e eslamian dept. of psychiatry, shahid beheshti university of medical sciences, tehran, iran f esfahani dept. of oncology, shahid beheshti university of medical sciences, tehran, iran

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...

Journal: :Medical care 2010
David M Mosen Adrianne C Feldstein Nancy Perrin A Gabriela Rosales David H Smith Elizabeth G Liles Jennifer L Schneider Jennifer E Lafata Ronald E Myers Michael Kositch Thomas Hickey Russell E Glasgow

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...

Journal: :Lecture Notes in Computer Science 2022

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...

2013
Ram Krishna Kumar Sarat Kumar Sahoo

--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...

Journal: :Diagnostic Pathology 2006
Klaus Kayser Dominik Radziszowski Piotr Bzdyl Rainer Sommer Gian Kayser

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...

بشارت, سیما, حسینی, احمد, دانش, احمد, روشن دل, دانیال, روشن دل, غلام رضا, سمنانی, شهریار, عبدالهی, نفیسه, کبیر, محمدجواد,

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...

Journal: :International Journal of Advanced Computer Science and Applications 2023

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...

Hajizadeh, E, Keshtvarz Hesam Abadi , AM, Nazemalhossein Mojarad , E, Pourhoseingholi, MA,

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...

2016
Shabbar Naqvi

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...

2014
Shabbar Naqvi

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...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید