Can we use gene sequencing for early detection and management of BRCA1 and BRCA2 genes due to their crucial role as suppressors genes? Further image segmentation of mammograms have any role to rule out the false-positive cases
Yes, you can. Exome sequencing–based screening may be a potential factor in long-term care improvement. Genomic screening may identify BRCA1/2-associated cancer risk that might otherwise remain undetected within health care systems and may provide opportunities to reduce morbidity and mortality in patients.
Please refer to the research article which I have attached for your reference.
The expectation of breast cancer patients is to receive correct and precise results. Radiologists sometimes generate wrong results by predicting that a patient has cancer, while in reality, the patient may not have cancer. The patient might incur unnecessary costs as well as painful treatments due to the biopsy and stress. Mammogram image segmentation is a cross-disciplinary field between physicians and machine learning experts. Furthermore, breast tumors are complex, and artificial intelligence experts do not understand the clinical needs. In addition, physicians do not understand how artificial intelligence works. Hence, specific clinical needs are not met.
To address this issue, it is recommended that collaboration between radiologists and artificial intelligence experts should be increased to reduce the workload on radiologists.
Please refer to the research article attached for your reference.
Article Breast Cancer Segmentation Methods: Current Status and Futur...
Merits and demerits of mammogram segmentation methods.