Results 111 to 120 of about 287,251 (295)

Application of Improved DNN Algorithm Based on Feature Fusion in Fine-Grained Image Recognition

open access: yesIEEE Access
Fine-grained image recognition is a research highlight in the computer vision. Compared with traditional image classification tasks, it places more emphasis on distinguishing objects with similar appearance features but belonging to different categories.
Jiongguang Zhu, Wei Zhang
doaj   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation

open access: yesIEEE Access
The heterogeneity and complexity of multi-modal data in high-resolution remote sensing images posed a severe challenge to existing cross-modal networks that aim to fuse complementary information of high-resolution optical and elevation data information ...
Jianxia Wang   +3 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

AGMCNet: Attention-Guided Multiscale Convolutional Network for Hyperspectral and LiDAR Data Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The combination of light detection and ranging (LiDAR) data and hyperspectral images (HSI) has emerged as a key method for classifying land cover with the growth of synergistic observation in remote sensing.
Yu Bai   +4 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

open access: yesMolecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski   +9 more
wiley   +1 more source

Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion

open access: yesRemote Sensing
Multi-source remote sensing image semantic segmentation can provide more detailed feature attribute information, making it an important research field for remote sensing intelligent interpretation.
Di Zhang   +5 more
doaj   +1 more source

Multi-Scale Feature Fusion and Structure-Preserving Network for Face Super-Resolution [PDF]

open access: gold, 2023
Dingkang Yang   +6 more
openalex   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

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