Metaheuristic algorithms are optimization algorithms that are used to address complicated
issues that cannot be solved using standard approaches. These algorithms are inspired by …

Detecting brain tumours is complex due to the natural variation in their location, shape, and
intensity in images. While having accurate detection and segmentation of brain tumours …

This research paper presents a comprehensive study on the development and evaluation of
a brain tumor classification model using advanced image processing and deep learning …

Breast cancer is a prevalent and life-threatening disease affecting many women worldwide.
Early diagnosis plays a crucial role in improving survival rates and allowing effective …

A brain tumor is an aberrant proliferation of living cells in the brain that grows uncontrolled,
posing a significant risk to the human body. Precise segmentation and classification of …

Swarm Intelligence algorithms are computational intelligence algorithms inspired from the
collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm …

Breast cancer (BC) is regarded as the second leading type of cancer among women
globally. Ultrasound images are typically used for the identification and classification of …

The root cause of death for women is breast cancer. Early detection is essential for rectifying
cancer. In this study, we explored the use of machine learning models for predicting breast …

Due to the wide range of handwriting styles among individuals and the low image quality of
the handwritten text, accurate handwriting detection has been a difficult challenge in …

Recent progress in deep learning methods has shown that key steps in object detection and
recognition, including feature extraction, region proposals, and classification, can be done …