Cancer is a major health concern due to its high incidence and mortality rates. Advances in
cancer research, particularly in artificial intelligence (AI) and deep learning, have shown …

The problem arises from the lack of sufficient and comprehensive information about the
necessary computer techniques. These techniques are crucial for developing information …

Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

Background Parenchymal Enhancement (BPE) quantification in Dynamic Contrast-
Enhanced Magnetic Resonance Imaging (DCE-MRI) plays a pivotal role in clinical breast …

Breast lesion segmentation of ultrasound images plays a crucial role in early screening and
diagnosis of breast lesions. However, accurately segmenting lesions in breast ultrasound …

Breast cancer is becoming a significant global health challenge, with millions of fatalities
annually. Magnetic Resonance Imaging (MRI) can provide various sequences for …

Medical image segmentation is a critical application that plays a significant role in clinical
research. Despite the fact that many deep neural networks have achieved quite high …

Positron emission tomography (PET) plays a crucial role in breast cancer management. This
review addresses the role of PET imaging in breast cancer care. We focus primarily on the …

Precise segmentation of breast tumors from MRI is crucial for breast cancer diagnosis, as it
allows for detailed calculation of tumor characteristics such as shape, size, and edges …

This research paper investigates the application of a genetic algorithm (GA) to optimize the
performance of a Multilayer Perceptron (MLP) model for breast cancer diagnosis. Various …