Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism

• Published in: Complexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 12
• Main Authors: Yan, Bin, Shi, Dapeng, Chen, Jian, Hai, Jinjin, Qiao, Kai, Jiang, Lingyun, Wang, Zhenzhen, Qin, RuoXi, Xu, Junling
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 20.01.2020; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Cable television broadcasting industry; Cancer; Classification; Computed tomography; CT imaging; Deep learning; Diagnosis; Diagnostic imaging; Feature extraction; Image classification; Lung cancer; Machine learning; Medical imaging; Medical imaging equipment; Medical prognosis; Mortality; Noise; Noise control; Noise reduction; Oncology, Experimental; Positron emission; Rankings; Tomography; United States; Connecticut

Lung cancer ranks among the most common types of cancer. Noninvasive computer-aided diagnosis can enable large-scale rapid screening of potential patients with lung cancer. Deep learning methods have already been applied for the automatic diagnosis of lung cancer in the past. Due to restrictions cau...