Semantic-based segmentation (Semseg) methods play an essential part in medical imaging
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …

One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …

Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many
individuals, especially in develo** and underdeveloped nations, where high levels of …

Medical datasets are usually imbalanced, where negative cases severely outnumber
positive cases. Therefore, it is essential to deal with this data skew problem when training …

According to the most recent estimates from global cancer statistics for 2020, liver cancer is
the ninth most common cancer in women. Segmenting the liver is difficult, and segmenting …

Understanding brain diseases such as categorizing Brain-Tumor (BT) is critical to assess the
tumors and facilitate the patient with proper cure as per their categorizations. Numerous …

Pulmonary nodule is one of the lung diseases and its early diagnosis and treatment are
essential to cure the patient. This paper introduces a deep learning framework to support the …

Deep learning algorithms will be used to detect lung nodule anomalies at an earlier stage.
The primary goal of this effort is to properly identify lung cancer, which is critical in …

Online sales and purchases are increasing daily, and they generally involve credit card
transactions. This not only provides convenience to the end-user but also increases the …

Breast cancer is becoming more dangerous by the day. The death rate in develo**
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …