Breast cancer (BC) is a common and highly lethal ailment. It stands as the second leading
contributor to cancer-related deaths in women worldwide. The timely identification of this …

Over the past decade, breast cancer has been the most common type of cancer in women.
Different methods were proposed for breast cancer detection. These methods mainly classify …

Simple Summary This paper presents a breast cancer detection approach where the
convoluted features from a convolutional neural network are utilized to train a machine …

Breast cancer is a very severe type of cancer that often develops in breast cells. Attempting
to develop an effective predictive model for breast cancer prognosis prediction is urgently …

Since gastric cancer is growing fast, accurate and prompt diagnosis is essential, utilizing
computer-aided diagnosis (CAD) systems is an efficient way to achieve this goal. Using …

Breast cancer is a major cause of female deaths, especially in underdeveloped countries. It
can be treated if diagnosed early and chances of survival are high if treated appropriately …

Over the past ten years, a significant influx of multi-modality material has contributed to the
rapid growth of data analytics' significance in health informatics. As a result, there is a …

Aim: The goal of this study is to produce user-friendly software for healthcare professionals
with various approaches such as detection, identification, classification, and tracking of …

This study focuses on developing an efficient urban waste management system using deep
learning algorithms and Internet of Things (IoT) technology. The goal is to improve waste …

Presently All Types of cancers can be detected using artificial intelligence and data mining
technologies. These technologies can recognize patients who have or don't have illnesses …