Cancer is incurable, but if the disease is detected in time, effective treatment can be done. Scientists have developed a new technique, which can be helpful in timely detection of breast cancer. Researchers say this technique will help save the lives of women battling breast cancer.
During this study a classification method based on Deep Learning (DL) network has been developed. This method can help identify the disease by assessing the hormones responsible for breast cancer. This method is considered a reliable alternative to the traditional manual medium. In this, proper assessment of the amount of estrogen hormone will be possible, which is considered to be a major factor in breast cancer.
Breast cancer accounts for 14 percent of cancer cases in Indian women. Similar effects and distribution of this disease is seen in rural and urban areas. The rate of recovery of this disease by Indian women on treatment of cancer is 60 percent, out of which 80 percent of the women are under 60 years of age. Such worrisome figures can be reduced, but this is possible only when cancer detection and treatment is started in the initial stages.
This method, called IHC-NET, linked to deep learning, has been developed by researchers at Guwahati's Institute of Advanced Study in Science and Technology (IASST). IASST is an autonomous institute of the Department of Science and Technology, Government of India. Estrogen or progesterone levels are measured in this deep learning based technique. Immunohistochemistry samples are used in this, which helps in detecting breast cancer levels.
Immunohistochemistry is considered to be an extremely useful tool and medium in biological research and clinical diagnosis to characterize tissue antigens. Immunohistochemistry is capable of expressing specific properties of various biological processes or pathology. Aspects such as wound healing, immune response, tissue rejections and tissue biomaterial interactions can be easily achieved through immunohistochemistry.
Researchers have developed an algorithm that is able to detect exactly what link between cancer cells and the hormones at their bottom. This is different from the traditional biopsy analysis used for cancer detection. Dr. Lipi Mahanta and his team conducted this study by collabration with Dr B Borooah Cancer Institute, Guwahati. This research has been approved for publication in the journal 'Applied Soft Computing'.
