to detect and diagnose lung cancer using low-dose CT scans. Our system uses a cascade of 3D CNNs and achieves state-of-the art performance on both lung nodule detection and malignancy classification problems on the publicly available LUNA16 and Kaggle datasets. Moreover, we characterized model ...
Sometimes, even experienced doctors are not able to identify cancer just by looking at the CT scan. During the past few years, a lot of research work is devoted to achieve the task for lung cancer detection but they failed to achieve accuracy. The main objective of this piece of this ...
Title题目A 3D Probabilistic Deep Learning System forDetection and Diagnosis of Lung Cancer Using Low-Dose CT Scans利用低剂量CT扫描的三维概率深度学习系统用于肺癌的检测与诊01文献速递介绍肺癌既是最常见的癌症之一,也是导致癌症死亡的主要原因之一,在美国约占所有癌症相关死亡的四分之一。肺癌的高死亡率部分是...
2. Groheux D, Quere G, Blanc E, et al. FDG PET-CT for solitary pulmonary nodule and lung cancer: Literature review. Diagn Interv Imaging, 2016, 97(10): 1003-1017. 3. Gong L, Jiang S, Yang Z, et al. Automated pulmonar...
2. Groheux D, Quere G, Blanc E, et al. FDG PET-CT for solitary pulmonary nodule and lung cancer: Literature review. Diagn Interv Imaging, 2016, 97(10): 1003-1017. 3. Gong L, Jiang S, Yang Z, et al. Automated pulmon...
Deep learning demonstrates potential for lung cancer detection in chest radiography. Radiology, 2020, 297(3): 697-698. doi: 10.1148/radiol.2020203538 (收稿:2023-01-06) (本文编辑:丁燕) 中国肺癌杂志 2 0 2 3 年 1 月第 2 6 卷第 1 期 Chin J Lung Cancer, Januar y 2023, Vol.26, No....
How Does a Low-Dose CT Scan Screen for Early Lung Cancer? Low-dose computed tomography (LDCT) lung cancer screening is a relatively new medical imaging modality that has been developed to enable the early detection of lung cancer in high-risk individuals and the general population. A low-...
The detection rates for lymph node metastasis lesions were 10/15 in the G2/G15 groups, which were higher than the detection rate in the C PET/CT group (64.4%(29/45); χ2=62.03, P=0.002). Conclusion One-tenth dose 18F-FDG TB PET/CT with a 2-minute acquisition is feasibility in...
Outside a screening program, early-stage lung cancer is generally diagnosed after the detection of incidental nodules in clinically ordered chest CT scans. Despite the advances in artificial intelligence (AI) systems for lung cancer detection, clinical validation of these systems is lacking in a non...
2.3. Base for the Lung Cancer Detection Model: Algorithm of Support Vector Machine For binary class problems, many possible hyperplanes distinguish two-class problems. However, in SVM, the best hyperplane among all has been identified based on the maximum margin. If there is a W weight vector ...