This comprehensive review examines advancements in optimizing the mechanical
performance of 3D printed polymer matrix composites (PMCs). It focuses on microstructural …

Rooftop agriculture for food production and photovoltaic (PV) panels for energy generation
are two examples of how urban functional design presents a potential alternative to multi …

Multimodal medical image segmentation is challenging due to feature heterogeneity across
modalities and the presence of modality-specific noise and artifacts. These factors hinder the …

Breast cancer (BC) is a type of cancer which progresses and spreads from breast tissues
and gradually exceeds the entire body; this kind of cancer originates in both sexes. Prompt …

Medical image analysis is essential for precise diagnosis, optimal treatment planning, non-
invasive monitoring, anomaly detection, advancing medical research, improving patient …

Hepatocellular carcinoma (HCC) is an extremely fatal malignancy that strikes women
worldwide. Early diagnosis boosts available treatments significantly, which reduces death …

Images and videos processing are becoming more and more crucial in digital interactions.
For those interactions, deep learning has had great success in processing them. High …

Traditional disease diagnosis methods often struggle with symptoms-based datasets
containing categorical data, leading researchers to favor boosting algorithms like CatBoost …

A spontaneous growth of abnormal cells in brain tissues that increases the pressure inside
the skull is called a brain tumor. This tumor can be non-cancerous or cancerous based on …

Accurate detection and segmentation of brain cancer in MRI scans are critical for effective
diagnosis and treatment planning. Traditional methods often struggle with the complexities …