A5009010274- Radiomics and Machine Learning in Medical Imaging
- Diagnosis and treatment of tuberculosis
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- COVID-19 diagnosis using AI
- Mycobacterium research and diagnosis
- Ideological and Political Education
- MicroRNA in disease regulation
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Diverticular Disease and Complications
- Artificial Intelligence in Healthcare and Education
- Hematological disorders and diagnostics
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
Shandong Chest Hospital
2019-2023
Shanghai Public Health Clinical Center
2022-2023
Shandong University
2020-2021
Abstract Objective To differentiate nontuberculous mycobacteria (NTM) pulmonary diseases from tuberculosis (PTB) by analyzing the CT radiomics features of their cavity. Methods 73 patients NTM and 69 PTB with cavity in Shandong Province Chest Hospital Qilu University were retrospectively analyzed. 20 Jinan Infectious Disease Hospitall collected for external validation model. 379 cavities as region interesting (ROI) chest images performed 2 experienced radiologists. 80% allocated to training...
Accurate image segmentation plays a crucial role in medical analysis, yet it faces great challenges caused by various shapes, diverse sizes, and blurry boundaries. To address these difficulties, square kernel-based encoder-decoder architectures have been proposed widely used, but their performance remains unsatisfactory. further challenges, we present novel double-branch encoder architecture. Our architecture is inspired two observations. (1) Since the discrimination of features learned via...
SET and MYND domain‑containing protein 3 (SMYD3) is a lysine methyltransferase, its aberrant expression has been implicated in several malignancies. However, clinical biological roles non‑small cell lung cancer (NSCLC) remain unclear. In the present study, it was revealed that SMYD3 significantly upregulated NSCLC tissues, as compared with paired adjacent normal tissues. A high associated aggressive clinicopathological characteristics, well poor disease‑free survival overall (OS) patients....
The abnormal expression of microRNAs (miRNAs/miRs) has a critical function in the formation and progression non‑small cell lung cancer (NSCLC). Therefore, understanding association between NSCLC dysregulated miRNAs may allow for identification novel diagnostic therapeutic biomarkers patients with this malignancy. Previous studies have validated miR‑208a as cancer‑associated miRNA multiple different types human cancer, however, its pattern precise remains yet to be elucidated. aims present...
Abstract The development of computer technology is becoming more and mature. application artificial intelligence to the medical field has made important contributions diagnosis auxiliary detection. Using powerful computing power computers replace humans in automatic complex diseases been enthusiastic by majority scientific researchers. In current imaging system, location lesion mainly found observing two‐dimensional image sequence, signs biological information cannot be accurately displayed....
Accurate image segmentation plays a crucial role in medical analysis, yet it faces great challenges of various shapes, diverse sizes, and blurry boundaries. To address these difficulties, square kernel-based encoder-decoder architecture has been proposed widely used, but its performance remains still unsatisfactory. further cope with challenges, we present novel double-branch encoder architecture. Our is inspired by two observations: 1) Since the discrimination features learned via...
Abstract Objective: This study aims to investigate the diagnostic utility of percutaneous ultrasound-guided needle biopsy in combination with GeneXpert MTB/RIF for epididymal tuberculosis. Methods: Between March 2019 2021, specimens obtained from 12 patients confirmed tuberculosis by ultrasound guided were sent pathology and laboratory examination at Shandong Public Health Clinical Center. The included acid-fast staining, Mycobacterium culture BACTEC MGIT 960, test. diagnosis complications...
Abstract Background: Nontuberculous mycobacteria (NTM) grows slowly, the course of disease is longer than that tuberculosis (TB), and resistance rate to first-line anti drugs high, so overall cure low. Radiomics a new image processing technology developed in recent years. In this study, CT-based radiomics features are evaluated differentiatenon NTM pulmonary with consolidation characteristics from PTB similar characteristics. Methods: A total 156 patients (75 81 PTB) Consolidation were...
Abstract Background: The CT features and clinical manifestations of the NTM pulmonary disease are similar to those tuberculosis (PTB), so it is very difficult identify these two diseases simply via or features. Methods: From February 2013 March 2018, 73 patients 69 PTB with cavity in Shandong Province Chest Hospital Qilu University were retrospctively analyzed. A double-blind assessment manual delineation 300 cavities as region interesting (ROI) from chest images performed by 2 experienced...