BREAST CANCER DETECTION WITH OPTIMIZED MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
International Research Journal of Modernization in Engineering Technology and Science · 2023
The classification of breast cancer has been a subject of interest in the fields of healthcare and bioinformatics because it is the second leading cause of cancer death in women.Breast cancer can be analyzed using a biopsy, where tissue is removed and studied under a microscope.Problem identification is based on the qualifications and experience of histopathologists, who will pay attention to abnormal cells.However, if the histopathologist is not well trained or experienced, it can lead to a misdiagnosis.With a recent proposal in image processing and in the field of machine learning, there is interest in experimenting to develop strong pattern recognition a framework for improving the quality of diagnostics.In this work we will use the image function extraction approach and machine learning approach for breast cancer classification using histological images for benign and malignant.Using a histopathological image, we can preprocess it image then use feature extraction and classify the final result using CNN classification techniques.