Results 31 to 40 of about 59,328 (159)

Video tracking of single cells to identify clustering behavior

Frontiers in Imaging
Cancer cell clustering is a critical factor in metastasis, with cells often believed to migrate in groups as they establish themselves in new environments. This study presents preliminary findings from an in vitro experiment, suggesting that co-culturing
Mónica Suárez Korsnes, Mónica Suárez Korsnes, Håkon André Ramberg, Kristin Austlid Taskén, Kristin Austlid Taskén, Reinert Korsnes   +5 more
doaj   +1 more source

Change detection with cross enhancement of high‐ and low‐level change‐related features

IET Image Processing, 2021
Change detection (CD) is a fundamental yet challenging problem, which aims at detecting changed object in two observations. Recent CD methods are designed based on the off‐the‐shelf semantic segmentation network architectures, which is not optimal for ...
Rui Huang, Yan Xing, Mo Zhou, Ruofei Wang   +3 more
doaj   +1 more source

Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images

Frontiers in Imaging
Early detection and management of diabetic peripheral neuropathy (DPN) are critical to reducing associated morbidity and mortality. Corneal Confocal Microscopy (CCM) facilitates the imaging of corneal nerves to detect early and progressive nerve damage ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Rayaz A. Malik, Ahmed Serag   +3 more
doaj   +1 more source

Dynamic optimization of hessian determinant image pyramid for memory‐efficient and high performance keypoint detection in SURF

IET Image Processing, 2021
With increasing demand for scale‐invariant and fast object recognition, speeded up robust features (SURF) have emerged and become a widely used feature extraction algorithm in computer vision. Nevertheless, SURF still requires high memory usage and heavy
Eunhee Cho, Yoonjin Kim
doaj   +1 more source

Enhancement of multi-objective Darwinian particle swarm optimization for neural-network-based multimodal medical image fusion

Frontiers in Imaging
The purpose of this research is to develop a multimodal medical image fusion method that will provide high-performance fusion images at a speed high enough for efficient real-time image-guided surgeries.
Chisom E. Ogbuanya
doaj   +1 more source

Alterations in CD46-mediated Tr1 regulatory T cells in patients with multiple sclerosis [PDF]

, 2006
Loss of Treg function appears to be a critical factor in the pathogenesis of human autoimmune diseases. Attention has focused on defects of CD4(+)CD25(high) Tregs, and techniques have been developed to determine their function.
Freeman, Samuel, Anne L. Astier, Astier, Anne L, Samuel Freeman, David A. Hafler, Meiffren, Gregory, Hafler, David A, Gregory Meiffren   +7 more
core   +1 more source

Feasibility in the detection of sentinel lymph node-associated blood vessels using intravital microscopy in patients undergoing sentinel lymph node biopsy for melanoma

Frontiers in Imaging
While the clinical focus on the sentinel lymph node biopsy (SLNB) is the presence of intra- or extra-nodal metastases, preclinical studies suggest that tumor-draining SLNB-associated vascular architecture and adhesion properties are altered regardless of
Emmanuel Gabriel, Daniel T. Fisher, Minhyung Kim, Kristopher Attwood, Xiaoyi Ma, Valerie Francescutti, John M. Kane, Sharon S. Evans, Joseph J. Skitzki, Joseph J. Skitzki   +9 more
doaj   +1 more source

Summary of Trx redox status following TR1 knockdown and JS-K treatment: Percent Trx in each redox state (% total).

, 2013
Summary of the 6 possible redox states of Trx in RKO cells with endogenous TR1 (si-Scramble) or with endogenous TR1 knocked-down (si-TR1) following treatment with 5 µM JS-K for 90 min.
Paul J. Shami (367727), Philip J. Moos (367728), Kornelia Edes (360526), Pamela Cassidy (367726)   +3 more
core   +1 more source

Cardiac adipose tissue, imaging segmentation, and quantification for cardiovascular disease assessment

Frontiers in Imaging
Cardiac adipose tissue (CAT) has emerged as a critical and clinically relevant factor in cardiovascular disease (CVD), yet its full impact remains largely overlooked.
Julian Rene Cuellar Buritica, Mukul Bhattarai, Pedro Carrillo, Manjula Burri, Jon Klingensmith   +4 more
doaj   +1 more source

Integration of imaging with liquid biopsy using artificial intelligence for ultra-early detection of breast cancer

Frontiers in Imaging
Breast cancer early detection using liquid biopsy, circulating tumor DNA (ctDNA), artificial intelligence (AI), and multimodal fusion offers a promising but still emerging research strategy to overcome the limitations of conventional imaging.
Shalaka Ramgir-Naidu, Asmita Govekar, Abhishek Ojha, Meghavi Soni   +3 more
doaj   +1 more source