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Breast cancer is one of the most common kinds of cancer, as well as the leading cause of mortality among women. Mammography is currently the most effective imaging modality for the detection of breast cancer and the diagnosis of the anomalies which can identify cancerous cells. Retrospective studies show that, in current breast cancer screenings approximately 15 to 30 percent of breast cancer cases are missed by radiologists. With the advances in digital image processing techniques, it is envisaged that radiologists will have opportunities to decrease this margin of error and hence, improve their diagnosis.…mehr

Produktbeschreibung
Breast cancer is one of the most common kinds of cancer, as well as the leading cause of mortality among women. Mammography is currently the most effective imaging modality for the detection of breast cancer and the diagnosis of the anomalies which can identify cancerous cells. Retrospective studies show that, in current breast cancer screenings approximately 15 to 30 percent of breast cancer cases are missed by radiologists. With the advances in digital image processing techniques, it is envisaged that radiologists will have opportunities to decrease this margin of error and hence, improve their diagnosis.
Autorenporträt
Experienced individual with a demonstrated history in the financial services industry and R and D sector. Skilled in Artificial Intelligence, Cognitive Computing, Deep Learning and Data Science technologies. Strong business development professional with a Doctor of Philosophy (PhD) in AI and Robotics from the Swiss Artificial