A Resampling-Based Markovian Model for Automated Colon Cancer Diagnosis

A Model-Based Automated Diagnosis Algorithm

The explosive growth of the Internet and the World Wide Web has made management tasks such as configuration, monitoring, diagnosis, and fault correction much more complicated. An automated management system is highly needed to alleviate those tasks of system managers. Some tools use Case-Based Reasoning or Rule-Based Reasoning to pinpoint faults. However, they have difficulties in solving probl...

Rapid DNA Extraction Protocol from Stool, Suitable for Molecular Genetic Diagnosis of Colon Cancer

Colorectal cancer (CRC) is one of the most common forms of cancers in the world and is curable if diagnosed at the early stage. Analysis of DNA extracted from stool specimens is a recent advantage to cancer diagnostics. Many protocols have been recommended for DNA extraction from stool, and almost allof them are difficult and time consuming, dealing with high amount of toxic materials like phen...

Automated cancer diagnosis based on histopathological images: a systematic survey

In traditional cancer diagnosis, pathologists examine biopsies to make diagnostic assessments largely based on cell morphology and tissue distribution. However, this is subjective and often leads to considerable variability. On the other hand, computational diagnostic tools enable objective judgments by making use of quantitative measures. This paper presents a systematic survey of the computat...

transplanting ct-26 colon cancer cell line to mice for establishing a syngeneic model of cancer

A Fuzzy Based Model for Brest Cancer Diagnosis

The purpose of the present paper is to classify among different age group of the patients and their symptoms of breast cancer through the mammographic images under single dieses and to determine appropriate therapeutic action. This also helps to diagnosis of diseases which having the same symptoms. This paper deals with knowledge based expert systems which have been developed for the diagnosis ...