… Our scheme is based on a difference-image technique for enhancing the lung … image for
each computed tomography image was obtained by subtracting the nodule-suppressed image …

… volumetric segmentation of non-small cell lung cancer (NSCLC) developed and validated …
detailed by image slice thickness, tumor size, image interpretation difficulty, and tumor location…

… For nonsmall cell lung cancer (NSCLC) patients, quantitative image features extracted from
computed tomography (CT) images can be used to improve tumor diagnosis, staging, and …

… tomography with computed tomographic imaging in detecting mediastinal lymph node
metastases in patients with nonsmall cell lung cancer. … positron emission tomography was Q* = …

… Conclusions: We compared the award-winning algorithms for lung cancer detection and
generated reproducible Docker images for the top solutions. Although convolutional neural …

… patients with non−small cell lung cancer, who were referred … Analysis of computed tomography
images showed extremely … feature of patients with lung cancer, despite normal or heavy …

… an auxiliary diagnosis model for lung cancer based on lung computed tomography (CT)
image scores, and to explore its value in distinguishing benign and malignant lung CT images. …

… k-means lung segmentation, which offers 96% lung cancer … in low dose Computed Tomography
images, and the same … the lungs into high-resolution Computed Tomography images. …

… as a popular and powerful method in many medical imaging diagnosis areas. In this paper,
… for lung cancer calcification. Those networks are applied to the CT image classification task …

… , CBCT volumetric image-guidance for lung cancer commenced for … imaging technique
for lung SBRT patients has been described in detail elsewhere 15, 21. Briefly, stereotactic lung …