Abstract Between 2015 and 2020, 7.8 million women were diagnosed with breast cancer. If
the cancer is discovered early, it can be completely cured. Computer-aided detection and …

Deep-learning-based models have been proposed as an automated second reader for
mammograms that might help reduce radiologists' workload and improve screening …

On average, breast cancer kills one woman per minute. However, there are more reasons
for optimism than ever before. When diagnosed early, patients with breast cancer have a …

Breast cancer develops when unchecked cell growth and division lead to a swelling of
muscle identified as a tumor. Experiencing a lump present in the breast, noticing a …

Breast cancer poses a significant health risk for women, demanding early detection to
mitigate its mortality impact. Leveraging the power of Deep Learning (DL) in medical …

Breast cancer is a prevalent disease that primarily affects women globally, but it can also
affect men. Early detection is crucial for better treatment outcomes and mammography is a …

Millions of women worldwide are affected by breast cancer, which is a serious global health
issue. The likelihood of successful therapy and the prognosis both greatly benefit from early …

Thermography is a noncontact, noninvasive imaging technology that is commonly utilized in
the medical profession. As early identification of cancer is critical, the computer-assisted …

Інноваційний технічний розвиток будь-якої галузі забезпечує конкурентоспроможність у
складному ринковому середовищі. Безумовно, технічне забезпечення …

The calibration of modern deep learning methods is often neglected when they are applied
to medical diagnosis. Meanwhile, the effectiveness of traditional calibration methods heavily …