Subsolid - Globe Thesis

Keyword [Subsolid] Result: 1 - 20 \| Page: 1 of 2
1.	The Radiographic Study Of Lung Adenocarcinoma According To IASLC/ATS/ERS Classification
2.	The Three-Dimensional Mass Measurement Of Subsolid Pulmonary Nodules On Chest CT: Intra And Inter-Observer Variability
3.	Prognostic Outcomes Of Surgical Resection For 90 Cases Stage Ⅰ Lung Adenocarcinoma With Radiologic Characteristic Of Subsolid Pulmonary Nodules
4.	Comparison Of CT Classifications And Quantitative Measurements Of Pulmonary Subsolid Nodules And Predictive Value Of Quantitative Features For Pathologic Grade Of Lung Adenocarcinoma
5.	The Measure Methods Of Density Of The Subsolid Lung Nodules And The Mass Research
6.	Threshold Segmentation Of Pulmonary Subsolid Nodules On CT Images:Detection And Quantification Of The Solid Component
7.	Persistent Pulmonary Nodules: CT Volume Growth And The Related Factors
8.	Analysis Of Clinical,Pathological,and Radiological Characteristics And Correlation Of Pulmonary Subsolid Nodules
9.	Low-dose Computer Tomography Screening For Lung Cancer And Differentiating HRCT Features Of Benign And Malignant Solitary Subsolid Nodules
10.	The Diagnostic Issues In The Surgical Management Of Solitary Pulmonary Nodule
11.	Early Lung Adenocarcinoma: The Correlation Between Quantitative Measurements And Radiomics Features Of Low-Dose Computed Tomography(LDCT)and Pathology
12.	The Value Of CT Features On The Differential Diagnosis Of Pulmonary Subsolid Nodules And The Invasive Degree Prediction In Pulmonary Adenocarcinoma
13.	A Study On Differentiation Of Benign And Malignant Pulmonary Nodules Based On Imaging Features
14.	Detection Rate Of Pulmonary Subsolid Nodules With Different Thickness Of MIP And Comparison With CADe System
15.	Establishment Of An Independent Predictor And Predictive Model For Malignant Subsolid Pulmonary Nodules
16.	Analysis Of Characteristics Of MSCT Signs And Follow-Up Changes In Sub-Solid Pulmonary Nodules
17.	Risk Factors And Prediction Model Of Single Subsolid Pulmonary Nodules
18.	Study For Subsolid Pulmonary Nodule Segmentation Methods Based On Active Contour Model
19.	The Analysis Of The Properties Of Subsolid Pulmonary Nodules And Establishment Of A Mathematical Prediction Model Of Benign And Malignant
20.	The Utilization Of Convolutional Neural Network On The Exploration Of Pulmonary Subsolid Nodules Biological Characteristics Through Chest CT Images
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