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Article
Application of deep learning in analysing morphological parameters of cervical computed tomography scans
The process of measuring morphological parameters of the cervical spine through computed tomography (CT) is repetitive and time-consuming. Deep learning (DL) improves efficiency and consistency. In this study,...
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Article
Open AccessDeep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography
To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT).
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Article
Open AccessBenign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI
The application of deep learning has allowed significant progress in medical imaging. However, few studies have focused on the diagnosis of benign and malignant spinal tumors using medical imaging and age info...
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Chapter and Conference Paper
Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors
Spinal tumors contain multiple pathological subtypes, and different subtypes may correspond to different treatments and prognoses. Diagnosis of spinal tumor subtypes from medical images in the early stage is o...
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Article
Vertebral MRI-based radiomics model to differentiate multiple myeloma from metastases: influence of features number on logistic regression model performance
This study aimed to use the most frequent features to establish a vertebral MRI-based radiomics model that could differentiate multiple myeloma (MM) from metastases and compare the model performance with diffe...
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Chapter and Conference Paper
MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches
The multi-modal fusion of medical images has been widely used in recent years. Most methods focus on images with a single plane, such as the axial plane with different sequences (T1, T2) or different modalitie...
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Article
Open AccessCMTM3 suppresses chordoma progress through EGFR/STAT3 regulated EMT and TP53 signaling pathway
Chordomas are rare, slow-growing and locally aggressive bone sarcomas. At present, chordomas are difficult to manage due to their high recurrence rate, metastasis tendency and poor prognosis. The underlying me...
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Article
Open AccessEight-lncRNA signature of cervical cancer were identified by integrating DNA methylation, copy number variation and transcriptome data
Copy number variation (CNV) suggests genetic changes in malignant tumors. Abnormal expressions of long non-coding RNAs (lncRNAs) resulted from genomic and epigenetic abnormalities play a driving role in tumori...
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Article
Open AccessDelayed postoperative radiotherapy increases the incidence of radiographic local tumor progression before radiotherapy and leads to poor prognosis in spinal metastases
Most previous studies focused on the minimum interval between surgery and radiotherapy in spinal metastases, leaving the maximum interval under-investigated. However, in real world, limited radiotherapist and ...
