Results 61 to 70 of about 11,738,094 (251)
A Multi-Stage GAN for Multi-Organ Chest X-ray Image Generation and Segmentation
Multi-organ segmentation of X-ray images is of fundamental importance for computer aided diagnosis systems. However, the most advanced semantic segmentation methods rely on deep learning and require a huge amount of labeled images, which are rarely ...
Giorgio Ciano +4 more
doaj +1 more source
Loss of NAPRT promotes lung tumor initiation and growth through a noncanonical mechanism, independent of its role in NAD+ biosynthesis. Mechanistically, NAPRT depletion activates the mTORC2‐driven AKT/β‐catenin signaling axis to enhance clonogenic and invasive phenotypes. Furthermore, lung‐specific Naprt deletion significantly increases tumor burden in
Myung Joon Oh +11 more
wiley +1 more source
BoxPaste: An Effective Data Augmentation Method for SAR Ship Detection
Data augmentation is a crucial technique for convolutional neural network (CNN)-based object detection. Thus, this work proposes BoxPaste, a simple but powerful data augmentation method appropriate for ship detection in Synthetic Aperture Radar (SAR ...
Sheng Chen +3 more
core +1 more source
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy
We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley +1 more source
Data Augmentation Techniques in Deep Image Processing
Image data augmentation is a technique for artificially expanding and diversifying existing image datasets. This method is beneficial when training data is insufficient for machine learning and deep learning models.
Ataman, Fikriye
core +1 more source
On the application of image augmentation for plant disease detection: A systematic literature review
Agriculture significantly influences the global economy, especially in developing countries, but plant diseases can drastically reduce crop yields and economic gains if not detected early.
Kwame Antwi +3 more
doaj +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
CIA: Controllable Image Augmentation Framework Based on Stable Diffusion [PDF]
peer reviewedComputer vision tasks such as object detection and segmentation rely on the availability of extensive, accurately annotated datasets.
Tellez, Horacio +8 more
core +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source

