Breast Cancer Detection

• This was my first class project five years ago, and I believe it to be one of the most straightforward methods for cancer detection. Deep learning and more advanced algorithms for Image Processing are now used in smarter algorithms to find breast cancer.

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• Breast cancer, which develops as abnormal cells in one or both breasts grow uncontrollably, is the second most common type of cancer among women in the 35 to 55 year-old age group after the first type of cancer population among women worldwide.

• The mammography approach has some drawbacks, including patient exposure, expense, and pain. Therefore, it is not advised for those under the age of forty or pregnant women. The biopsy method, which is an intrusive procedure, is employed as the ultimate technique of detection after the likelihood of illness has been identified by means of other techniques.

• Therefore I utilized the Thermography dataset Thermography is the body temperature record, and its output is the image depicting surface body temperature distribution. In case of the development of any illness, the reaction of the human body is the generation of heat in the corresponding region to raise the blood stream hence thermography is employed as the detection tool for many diseases.

• You may obtain the DMR-IR dataset I used here.

• Also, you can find the complete script on my Github.