Results 91 to 100 of about 59,151 (296)
Visual food recognition using few-shot learning
In recent years, smart food logging is becoming more popular. People can record their diet information and have better health management. Visual food recognition based on machine learning is one of the techniques to implement smart food logging system.
Liu, Tianyi
core
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Few-Shot SAR Target Recognition via Causal Inference and Deep Metric Learning
Deep learning, with large-scale annotated datasets, has demonstrated remarkable success in synthetic aperture radar automatic target recognition (SAR-ATR).
Ke Wang, Yuqian Mao, Qi Qiao
doaj +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Transformer-Based Student Engagement Recognition Using Few-Shot Learning
Improving the recognition of online learning engagement is a critical issue in educational information technology, due to the complexities of student behavior and varying assessment standards. Additionally, the scarcity of publicly available datasets for
Wejdan Alarefah +2 more
doaj +1 more source
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Animal classification considering infrared few-shot open-set recognition
This paper introduced the novel Infrared Few-shot Open-set Recognition (IFOR) framework for effective nighttime wildlife surveillance using limited infrared images.
Koki Kishi +4 more
doaj +1 more source
Few shot learning of agricultural pests classification fusion with enhanced feature model
In order to achieve accurate image recognition in scenarios where the target domain samples are limited,such as agricultural pest Image recognition, few shot image classification methods have been developed as an extension of deep learning-based image ...
WANG Yi +3 more
doaj
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
Learning from a few examples is a challenging task for machine learning. While recent progress has been made for this problem, most of the existing methods ignore the compositionality in visual concept representation (e.g. objects are built from parts or composed of semantic attributes), which is key to the human ability to easily learn from a small ...
Ping Hu 0001 +3 more
openaire +2 more sources
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source

