A Technique of Dataset Generation Using Cancerous Images on MATLAB
Mini Puri, Jyoti Mann · 2015
Cancer is one of the most commonly occurring conditions. India has one of the highest rates of cancer in the world . More than 80,000 new cases reported annually across the country. Early detection of cancer is crucial for treatment. Now a days there are various methods of cancer detection. In this paper dataset generation technique is used to find the cancerous image on MATLAB tool. It can improves the accuracy of the detection method. Cancer has a reputation as a deadly disease. Taken as a whole, about half of people receiving treatment for invasive cancer (excluding carcinoma in situ and non-melanoma skin cancers) die from cancer or its treatment. Survival is worse in the developing world, partly because the types of cancer that are most common there are at present harder to treat than those associated with the lifestyle of developed countries. However, the survival rates vary dramatically by type of cancer, and by the stage at which it is diagnosed, with the range running from the great majority of people surviving to almost no one surviving as long as five years after diagnosis. Once a cancer has metastasized or spread beyond its original site, the prognosis normally becomes much worse. Those who survive cancer are at increased risk of developing a second primary cancer at about twice the rate of those never diagnosed with cancer. The increased risk is believed to be primarily due to the same risk factors that produced the first cancer, partly due to the treatment for the first cancer, and potentially related to better compliance with screening. Predicting either short-term or long-term survival is difficult and depends on many factors. The most important factors are the particular kind of cancer and the patient's age and overall health. People who are frail with many other health problems have lower survival rates than otherwise healthy people. A centenarian is unlikely to survive for five years even if the treatment is successful. People who report a higher quality of life tend to survive longer. People with lower quality of life may be affected by major depressive disorder and other complications from cancer treatment and/or disease progression that both impairs their quality of life and reduces their quantity of life. Additionally, patients with worse prognoses may be depressed or report a lower quality of life directly because they correctly perceive that their condition is likely to be fatal. People with cancer, even those who are walking on their own, have an increased risk of blood clots in veins. The use of heparin appears improve survival and decrease the risk of blood clots. Leukemia is a disease that affects blood-forming cells in the body. It is a cancerous condition characterized by an abundance of abnormal white blood cells in the body. Leukemia begins in the bone marrow and spreads to other parts of the body. Both children and adults can develop leukemia.