Results 51 to 60 of about 1,217,238 (259)
SAM-Guided Accurate Pulmonary Nodule Image Segmentation
Addressing the challenges of inaccurate lung nodule segmentation due to significant scale variations, indistinct boundary textures, and intense background noise, this study introduces a Segment Anything model (SAM)-based feature-enhanced U-Net algorithm ...
Xuewei Niu +4 more
doaj +1 more source
Discriminative Random Field Segmentation of Lung Nodules in CT Studies [PDF]
The ability to conduct high-quality semiautomatic 3D segmentation of lung nodules in CT scans is of high value to busy radiologists. Discriminative random fields (DRFs) were used to segment 3D volumes of lung nodules in CT scan data using only one seed point per nodule. Optimal parameters for the DRF inference were first found using simulated annealing.
Brian Liu 0001, Ashish Raj
openaire +6 more sources
Attention-ResUNet and EfficientSASM-UNet: UNet-Based Frameworks for Lung and Nodule Segmentation
Lung cancer has been one of the major threats across the world, with the highest mortalities. Computer-aided detection (CAD) can aid early detection and thus increase the survival rate.
Muhammad Abdullah +4 more
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong +12 more
wiley +1 more source
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler +20 more
wiley +1 more source
Schematic illustration of a biomimetic SKEV@AAV platform targeting p21‐high senescent Kupffer cells (sKCs) in hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT). p21‐high sKCs accumulate in the PVTT microenvironment and establish an immunosuppressive, SASP‐rich environment that facilitates tumor cell proliferation and immune evasion.
Na Ta +10 more
wiley +1 more source
Electric field‑driven continuous gradient hydrogel GHZF4 achieves spatiotemporal growth factor release, modulates immune microenvironment, angiogenesis and osteochondral differentiation. It realizes cell‑free functional osteochondral repair in rat/rabbit models, offering a promising biomimetic strategy for gradient tissue regeneration.
Xiaolian Niu +7 more
wiley +1 more source
IMPROVED LUNG NODULE CLASSIFICATION USING MULTI-CLASS ARTIFICAL NEURAL NETWORK WITH BACK PROPAGATION ALGORITHM [PDF]
This paper designed a novel method to overcome the problem of the lung nodule overlapping adjacent structures. We developed a lobe segmentation algorithm for identifying lung lobes CT images.
S Vimalnath, G Ravi
doaj +1 more source
This study unveiled that METTL14 mediates m6A modification of WDR72 mRNA to stabilize and enhance WDR72 expression, which disrupts TRIM31‐mediated ubiquitination of CBX8 protein and retards its degradation, finally the elevated CBX8 contributes to tumor stemness.
Huijuan Zeng +13 more
wiley +1 more source

