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[HTML][HTML] Programmable biomaterials for bone regeneration
P Song, D Zhou, F Wang, G Li, L Bai, J Su - Materials Today Bio, 2024 - Elsevier
Programmable biomaterials are distinguished by their ability to adjust properties and
functions on demand, in a periodic, reversible, or sequential manner. This contrasts with …
functions on demand, in a periodic, reversible, or sequential manner. This contrasts with …
Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning
K Zhang, Y Zhang, Y Ding, M Wang, P Bai… - … Signal Processing and …, 2024 - Elsevier
Anatomical sites recognition is a basic requirement for gastroenterologists. But there is not a
unified framework for anatomical sites identification in both ordinary and capsule …
unified framework for anatomical sites identification in both ordinary and capsule …
Deep transfer learning from ordinary to capsule esophagogastroduodenoscopy for image quality controlling
Y Zhang, K Zhang, Y Ding, S Liu, M Wang… - Engineering …, 2024 - Wiley Online Library
Quality controlling for capsule endoscopic images can be completed with the assistance of
artificial intelligence, but the labeling process is time‐consuming. Domain adaption is a …
artificial intelligence, but the labeling process is time‐consuming. Domain adaption is a …
Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi …
S Zhang, K Li, Y Sun, Y Wan, Y Ao, Y Zhong… - International Journal of …, 2024 - Elsevier
Purpose To develop and externally validate an automatic artificial intelligence (AI) tool for
delineating gross tumor volume (GTV) in patients with esophageal squamous cell carcinoma …
delineating gross tumor volume (GTV) in patients with esophageal squamous cell carcinoma …
Radiomics Nomogram with added nodal features improves treatment response prediction in locally advanced esophageal squamous cell carcinoma: a Multicenter …
K Li, S Zhang, Y Hu, A Cai, Y Ao, J Gong… - Annals of Surgical …, 2023 - Springer
Objective We aimed to develop and validate a radiomics nomogram and determine the
value of radiomic features from lymph nodes (LNs) for predicting pathological complete …
value of radiomic features from lymph nodes (LNs) for predicting pathological complete …
ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?
K Li, S Zhang, H Shan - Annals of Surgical Oncology, 2023 - Springer
Neoadjuvant chemoradiotherapy (NCRT) followed by surgery is the standard treatment for
patients with locally advanced esophageal squamous cell carcinoma (ESCC). Patients who …
patients with locally advanced esophageal squamous cell carcinoma (ESCC). Patients who …
Radiomics and Multiomics Research
Medical imaging is a non-invasive diagnostic method that is commonly used in clinical
practice, and its role has gradually evolved from a major diagnostic tool to an important …
practice, and its role has gradually evolved from a major diagnostic tool to an important …