Machine Learning: A Potential Therapeutic Tool to Facilitate Neonatal Therapeutic Decision Making
BH Tang, QY Li, HX Liu, Y Zheng, YE Wu… - Pediatric Drugs, 2024 - Springer
Bacterial infection is one of the major causes of neonatal morbidity and mortality worldwide.
Finding rapid and reliable methods for early recognition and diagnosis of bacterial infections …
Finding rapid and reliable methods for early recognition and diagnosis of bacterial infections …
[HTML][HTML] Multi-feature Fusion Network on Gray Scale Ultrasonography: Effective Differentiation of Adenolymphoma and Pleomorphic Adenoma
Y Mao, LP Jiang, JL Wang, YH Diao, FQ Chen… - Academic …, 2024 - Elsevier
Rationale and Objectives to develop a deep learning radiomics graph network (DLRN) that
integrates deep learning features extracted from gray scale ultrasonography, radiomics …
integrates deep learning features extracted from gray scale ultrasonography, radiomics …
Tissue-specific transfer-learning enables retasking of a general comprehensive model to a specific domain
Machine learning (ML) has proven successful in biological data analysis. However, may
require massive training data. To allow broader use of ML in the full spectrum of biology and …
require massive training data. To allow broader use of ML in the full spectrum of biology and …
Radiomics analysis based on semi-automatic image segmentation of ultrasound for preoperative evaluation of Mammotome-assisted minimally invasive resection
Z Huang, Q Zhu, Y Li, K Wang, Y Zhang, Q Zhong, Y Li… - 2024 - researchsquare.com
Previous radiomics studies still relied on manual delineation. DeepLabv3_resnet50 and
FCN_resnet50 are deep neural networks commonly used for semantic segmentation in …
FCN_resnet50 are deep neural networks commonly used for semantic segmentation in …
Transformer-Based Ozone Multivariate Prediction Considering Interpretable and Priori Knowledge: A Case Study of Beijing, China
L Mu, S Bi, X Ding, Y Xu - papers.ssrn.com
Ozone pollution is the focus of current environmental governance in China and high-quality
prediction of ozone concentrations is the prerequisite to effective policymaking. The studied …
prediction of ozone concentrations is the prerequisite to effective policymaking. The studied …