Intrusion detection systems (IDSs) that continuously monitor data flow and take swift action
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …

Abstract Objective Explainable Artificial Intelligence (XAI) is increasingly recognized as a
crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and …

Abstract Breast Cancer Disease is identified as one of the prime causes of death in women
around the globe standing next to lung cancer. Breast cancer represents the development of …

Today, doctors rely heavily on medical imaging to identify abnormalities. Proper
classification of these abnormalities enables them to take informed actions, leading to early …

Breast cancer, recognized as one of the most pervasive malignancies affecting females,
manifests a perpetual escalation in its worldwide morbidity. Timely screening offers patients …

Among many types of cancers, to date, lung cancer remains one of the deadliest cancers
around the world. Many researchers, scientists, doctors, and people from other fields …

Breast cancer poses a global health challenge, with high incidence and mortality rates. Early
detection and precise diagnosis are crucial for patient prognosis. Machine learning (ML) …

Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to
promptly diagnose these tumors can significantly shorten a person's life. Therefore, early …

Nowadays, artificial intelligence in medicine plays a leading role. This necessitates the need
to ensure that artificial intelligence systems are not only high-performing but also …

Feature extraction and selection are important techniques in the classification of medical
images. Extraction of key features and selection of relevant features are the preliminary …