This paper provides insights into a workflow of different applications of machine learning
coupled with image analysis in the healthcare sector which we have undertaken. As case …

Artificial Intelligence, machine learning, and Deep Learning are gradually changing medical
practice and are poised to influence nearly every aspect of the human condition. With recent …

Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …

Computer aided detection and diagnosis systems based on deep learning have shown
promising performance in breast cancer detection. However, there are cases where the …

Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

Once the diabetes is diagnosed and not treated for a long time, it affects different parts of
body, especially our eyes. The most common eye disease is Diabetic Retinopathy. Millions …

Advancements in machine learning and data analytics have transformed the landscape of
biomedical decision-making, offering innovative solutions to address the complexities of …

Breast cancer remains a formidable global health challenge, exacting a heavy toll on
women's lives and necessitating advanced diagnostic methodologies. This study delves into …

Breast cancer is a very common and life-threatening disease in women worldwide. The
number of breast cancer cases is increasing with time. Prevention of this disease is very …

Breast cancer is a significant global health concern, with early detection being critical for
successful treatment and improved patient outcomes. In recent years, machine learning …