A 46-year-old man with no past history of underlying disease was admitted to our hospital for examination of abnormal chest shadow on chest radiograph. He had no respiratory symptoms on admission. Chest radiograph showed a solitary nodule (35 × 20 mm) in the left upper lung field. On chest CT, this nodule in the left upper lobe (S(1+2)) did not demonstrate calcification, the margin was clear bu...

The threshold for detection of pulmonary nodules has decreased due to advances in CT technology. Particularly in sub-centimetre nodules, non-invasive diagnostic procedures are required for classification into benign and malignant to avoid unnecessary invasive procedures as more than 95% of these lesions are benign.

In this paper we describe all gradings by a finite abelian group G on the following Lie algebras over an algebraically closed field F of characteristic p = 2: sln(F ) (n not divisible by p), son(F ) (n ≥ 5, n = 8) and spn(F ) (n ≥ 6, n even).

Large-cell neuroendocrine carcinomas (LCNECs) are relatively rare, and most reported occurrences tend to involve relatively large tumors. We report a small LCNEC in a 63-year-old male patient with pulmonary emphysema. The peripheral pulmonary nodule did not have lobulation and spiculation, and it was difficult to establish correct diagnosis before surgery because of its small size and effect of...

A solitary pulmonary nodule (SPN) is the most common radiographic presentation of lung cancer. The imaging characteristics of solitary pulmonary nodules are described and illustrated. The appearance and implications of extension of lung cancer to the pleura are explored. Finally, the contribution of various thoracic imaging modalities to the diagnosis and staging of lung cancer are discussed br...

Refer to the literature of lung nodule classification, many studies adopt Convolutional Neural Networks (CNN) to directly predict the malignancy of lung nodules with original thoracic Computed Tomography (CT) and nodule location. However, these studies cannot tell how the CNN works in terms of predicting the malignancy of the given nodule, e.g., it’s hard to conclude that whether the region wit...

Pulmonary cancer is one of the most dangerous cancers with a high incidence and mortality. An early accurate diagnosis treatment pulmonary can observably increase survival rates, where computer-aided systems largely improve efficiency radiologists. In this article, we propose deep automated lung nodule system based on three-dimensional convolutional neural network (3D-CNN) support vector machin...

Lung cancer is one of the most common causes cancer-related death worldwide. It usually detected by CT or MRI and removed through thoracoscopic surgery. However, during surgery, lung collapses, a new determination position pulmonary nodule necessary, which particularly challenging in case minimally invasive surgeries when palpation not possible. In this contribution, ultra-wideband (UWB) radio ...