Deep Learning-Based Cancer Detection Technique

2. Cancer Image Processing And Goals

Cancer management relies heavily on imaging, with different imaging modalities being employed at various points in treatment for a variety of reasons. Figure 1 shows the diagnosis and treatment path that a patient offering with breast cancer would go through at various times. A comprehensive treatment strategy is then combined and performed depending on this classification of phase and tumour category. Afterwards, the tumour is removed surgically that involves analysing a completely dissected surgical material under a microscope, yielding about 20-40 WSI. Patients response assessment scan (MRI/Mammography/PET scan) evaluated for patients undergoing chemotherapy or radiation. In order to identify any recurrence or advancement at an early stage, patients will continue medical therapy and have regular follow-up appointments with appropriate radiological imaging, initially every 3 months, followed by decreasing frequency and increasing gap between these sessions. One or more of (a) therapeutic value, (b) predictive value, and (c) prognostic value are necessary for any cancer image analysing approach to be clinically meaningful.