This study focuses on the vital difficulty of burn assessment in medical image retrieval from
grafted burn specimens particularly in resource-constrained contexts where speedy and …

This paper introduces a novel approach for medical image reclamation, specifically focusing
on enhancing chest image resolution. The proposed method introduces the Dual-Tree …

Efficient extraction and analysis of histopathological images are crucial for accurate medical
diagnoses, particularly for prostate cancer. This research enhances histopathological image …

Medical image segmentation plays an essential role in computer-aided diagnostic systems
in various applications. Therefore, researchers are attracted to apply new algorithms for …

In this work, a customized portable semi-shielded chamber for torso phantoms to evaluate
fat-intrabody communication (Fat-IBC) is presented. Fat-IBC is a technology where human …

The European “Senseburn” project aims to develop a smart, portable, non-invasive
microwave early effective diagnostic tool to assess the depth (d) and degree of burn. The …

The dielectric properties of skin tissues in relation to different degrees of burn are a
necessary prerequisite for designing non-invasive microwave sensing modalities. Due to the …

This study introduces a novel methodology for burn analysis, leveraging dynamic contrast
enhancement in RGB burn images. The proposed approach integrates three pivotal …

Detecting melanoma cells in medical images is a significant challenge in medical image
processing. This study addresses a specific gap in identifying intravascular Radiographic …

This research paper introduces a comprehensive methodology aimed at enhancing the
accuracy of liver cancer tumor identification in ultrasound images through the utilization of a …