Deep Learning (DL) drives academics to create models for cancer diagnosis using medical
image processing because of its innate ability to recognize difficult-to-detect patterns in …

Background: Lung cancer is one of the most fatal cancers worldwide, and malignant tumors
are characterized by the growth of abnormal cells in the tissues of lungs. Usually, symptoms …

A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …

Abstract Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial
technologies in the field of medical imaging. Score-based models demonstrated …

This study presents a novel amalgamated model for the diagnosis of multiple medical
conditions using various imaging modalities, including Chest X-ray, MRI, and endoscopic …

Medical imaging stands as a critical component in diagnosing various diseases, where
traditional methods often rely on manual interpretation and conventional machine learning …

Breast cancer is a health concern of importance, and it is crucial to detect it early for effective
treatment. Recently there has been increasing interest in using artificial intelligence (AI) for …

This paper comprehensively reviews the classification of breast cancer histological images.
The paper discusses the research objectives, methodologies used, and conclusions drawn …

The detection of adverse drug reactions (ADRs) plays a necessary role in comprehending
the safety and benefit profiles of medicines. Although spontaneous reporting stays the …

Cervical cancer (CC) ranks as the fourth most common form of cancer affecting women,
manifesting in the cervix. CC is caused by the Human papillomavirus (HPV) infection and is …