Background Emerging studies indicate that hypericin has diverse pharmacological actions
and exhibits potential for treatment of various types of cancer. Purpose The current review …

Currently, the use of rich spectral and spatial information of hyperspectral images (HSIs) to
classify ground objects is a research hotspot. However, the classification ability of existing …

In recent years, convolutional neural networks (CNNs) have been widely used in
hyperspectral image classification (HSIC). However, the size of the convolutional kernel in …

Introduction Tissue-preserving surgery is utilized progressively in cancer therapy, where a
clear surgical margin is critical to avoid cancer recurrence, specifically in breast cancer (BC) …

The rapid advancement of diagnostic and therapeutic optical techniques for oncology
demands a good understanding of the optical properties of biological tissues. This study …

Background Varicose veins (VV) are a prevalent chronic venous disorder, particularly
affecting women of childbearing age. This condition is associated with significant …

Deep learning-based methods are widely used in hyperspectral image (HSI) classification
and have achieved excellent classification performance. However, hyperspectral data from …

Background: Breast cancer is a leading cause of cancer-related deaths among women
worldwide. Early and accurate detection is crucial for improving patient outcomes. Our study …

Currently, hybrid network models combining convolutional neural networks (CNNs) and
Transformers have garnered significant interest among researchers in hyperspectral image …

The vascular supply to the human eye plays a vital role in maintaining ocular health, making
its non-invasive evaluation essential for diagnosing and managing various ocular disorders …