Identification of Cancer Disease Using Image Processing Approahes
Saif Ali,
Aneeqa Tanveer,
Azhar Hussain,
Saif Ur Rehman
Issue:
Volume 9, Issue 2, April 2020
Pages:
6-15
Received:
14 May 2020
Accepted:
2 June 2020
Published:
4 July 2020
Abstract: Cancer, also called malignancy, is an abnormal growth of cells. There are more than 100 types of cancer, including breast cancer, skin cancer, lung cancer, colon cancer, prostate cancer, and lymphoma. Symptoms vary depending on the type. Cancer treatment may include chemotherapy, radiation, and/or surgery. According to American Cancer Society America will be encountering 1,806,950 new cases of cancer in the year 2020 causing 606,520 deaths. Cancer is the leading cause of death in the world. Cancer can be classified into two main categories malignant and benign. Early detection of cancer is the key to the successful treatment of cancer. There are various methodologies for the detection of cancer some include manual procedures, Manual identification is time-consuming and unreliable therefore computer-aided detection came into the research. Computer-aided detection involves image processing for feature extraction and classification techniques for the recognition of cancer type and stages. In this paper, several different algorithms have been discussed such as SVM, KNN, DT, etc. for the classification of the different cancers. This paper also presents a comparative analysis of the researches done in the past.
Abstract: Cancer, also called malignancy, is an abnormal growth of cells. There are more than 100 types of cancer, including breast cancer, skin cancer, lung cancer, colon cancer, prostate cancer, and lymphoma. Symptoms vary depending on the type. Cancer treatment may include chemotherapy, radiation, and/or surgery. According to American Cancer Society Ameri...
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