Distinguishing bronchoscopically observed anatomical positions of airway under by convolutional neural network

C Chen, FJF Herth, Y Zuo, H Li… - … in Chronic Disease, 2023 - journals.sagepub.com
Background: Artificial intelligence (AI) technology has been used for finding lesions via
gastrointestinal endoscopy. However, there were few AI-associated studies that discuss …

Scgnet: Shifting and cascaded group network

H Zhang, S Lai, Y Wang, Z Da, Y Dun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Many lightweight networks have been proposed for resource-limited applications, however,
they cannot be efficiently applied to neural-network processing units (NPUs) due to the …

Prediction of treatment outcome for branch retinal vein occlusion using convolutional neural network-based retinal fluorescein angiography

Y Zhang, Z Xing, A Deng - Scientific Reports, 2024 - nature.com
Deep learning techniques were used in ophthalmology to develop artificial intelligence (AI)
models for predicting the short-term effectiveness of anti-VEGF therapy in patients with …

Targeting DNM1L/DRP1-FIS1 axis inhibits high-grade glioma progression by impeding mitochondrial respiratory cristae remodeling

X Li, J Tie, Y Sun, C Gong, S Deng, X Chen, S Li… - Journal of Experimental …, 2024 - Springer
Background The dynamics of mitochondrial respiratory cristae (MRC) and its impact on
oxidative phosphorylation (OXPHOS) play a crucial role in driving the progression of high …

Building and validating an artificial intelligence model to identify tracheobronchopathia osteochondroplastica by using bronchoscopic images

C Chen, F Tang, FJF Herth, Y Zuo… - Therapeutic …, 2024 - journals.sagepub.com
Background: Given the rarity of tracheobronchopathia osteochondroplastica (TO), many
young doctors in primary hospitals are unable to identify TO based on bronchoscopy …