With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …

Free tissue transfer is widely used for the reconstruction of complex tissue defects. The
survival of free flaps depends on the patency and integrity of the microvascular anastomosis …

Surgical tool segmentation and action recognition are fundamental building blocks in many
computer-assisted intervention applications, ranging from surgical skills assessment to …

Introduction Hyperspectral imaging (HSI) has shown promise in the field of intra-operative
imaging and tissue differentiation as it carries the capability to provide real-time information …

Abstract Background and Objective Medical hyperspectral images (MHSIs) are used for a
contact-free examination of patients without harmful radiation. However, high-dimensionality …

The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …

Most of current computer vision-based advanced driver assistance systems (ADAS) perform
detection and tracking of objects quite successfully under regular conditions. However …

Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy.
While characterization of the tissue perfusion is crucial in various procedures, such as partial …

The generation of high-homogeneity slope units is crucial for terrain understanding and
further analysis. Currently, the parameterization of the slope units extraction method largely …

Hyperspectral Imaging (HSI) is a relatively new medical imaging modality that exploits an
area of diagnostic potential formerly untouched. Although exploratory translational and …