Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), edge …

Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …

Breast cancer is a lethal illness that has a high mortality rate. In treatment, the accuracy of
diagnosis is crucial. Machine learning and deep learning may be beneficial to doctors. The …

Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis
of this disease can significantly improve the efficiency of treatment. Computer-Aided …

Nowadays, technology has been evolving rapidly. Due to the consequent impact of smart
technologies, it becomes a ubiquitous part of life. These technologies have led to the …

Breast cancer causes hundreds of women's deaths each year. The manual detection of
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …

Breast cancer is among the leading causes of mortality for females across the planet. It is
essential for the well-being of women to develop early detection and diagnosis techniques …

Cancer is a complicated global health concern with a significant fatality rate. Breast cancer is
among the leading causes of mortality each year. Advancements in prognoses have been …

Breast cancer is one of the most common forms of cancer. Its aggressive nature coupled with
high mortality rates makes this cancer life‐threatening; hence early detection gives the …

A supervised CNN Deep net classifier is proposed for the detection, classification and
diagnosis of meningioma brain tumor using deep learning approach. This proposed method …