A5102016692- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- AI in cancer detection
- COVID-19 diagnosis using AI
- Cancer Cells and Metastasis
- Cancer, Hypoxia, and Metabolism
- Gene expression and cancer classification
Taiyuan University of Technology
2020-2023
Capital Medical University
2021
Beijing Chest Hospital
2021
University of Southern Queensland
2020
Early identification and classification of pulmonary nodules are essential for improving the survival rates individuals with lung cancer considered to be key requirements computer-assisted diagnosis. To address this topic, present study proposed a method predicting malignant phenotype based on weighted voting rules. This used nodule regions interest as input data extracted features using Denoising Auto Encoder, ResNet-18. Moreover, software also modifies texture shape assess nodules. Based...
Lung cancer has been listed as one of the world's leading causes death. Early diagnosis lung nodules great significance for prevention cancer. Despite major improvements in modern and treatment, five-year survival rate is only 18%. Before diagnosis, classification important step, particular, because automatic may help doctors with a valuable opinion. Although deep learning shown improvement image classifications over traditional approaches, which focus on handcraft features, due to large...
The prediction of lung tumour growth is the key to early treatment cancer. However, lack intuitive and clear judgments about future development often leads patients miss best opportunities. Combining characteristics variational autoencoder recurrent neural networks, this study proposes a via conditional autoencoder. proposed model uses reconstruct images at different times. Meanwhile, units are infer relationship between according chronological order. varies in patients, patients' condition...
Background: An early indicator for monitoring the effect of adjuvant treatment after lung cancer surgery is urgently needed. The study was to explore effects epithelial cell adhesion molecule (EpCAM) circulating tumor cells (CTCs) in NSCLC patients with postoperative chemotherapy.Methods: Two drugs (platinum-containing chemotherapeutics + platinum-free chemotherapeutics) first-line chemotherapy regimen were given surgery. MRNA EpCAM detected. Chest computed tomography, head tomography and...