摘要：The various working models for the classification and diagnosis of the lung cancer has been worked out till data to assist the medical experts with the usage of the different techniques of the digital image processing in the appropriate dealing of the different image sample detected tumour cells. In the present day, it requires the classification of the lung cancer and COVID19 as both will be affected to the common part of the human internal body structure. If it cannot be diagnosed in early stages in the era of COVID-19, which may result in different medical approach hence in this present research article we are trying to provide the clear distinction among the cancer cells and COVID-19 at the initial stage of the article theoretically and subsequently it is predicted with the image processing techniques with the consideration of the few parameters such as Contrast, Entropy and Energy of the input biomedical images. The input samples are considered from the open source freely downloadable physionet resource datasets. It can noted that with the classification of biomedical datasets with the above mentioned parameters at initial stages with the suitable algorithm based calculation will assist the medical experts for the better clarity of the disorders.
关键词：“Prevention is better than cureâ€;It is a well-known proverb in English. Here is an approach to reduce the death rate caused of cancer by detecting in early stage. In 2019
