Attention Layer-Based Multidimensional Feature Extraction for Diagnosis of Lung Cancer

At present, early lung cancer screening is mainly based on radiologists’ experience in diagnosing benign and malignant pulmonary nodules by lung CT images. On the other hand, intraoperative rapid freezing pathology needs to analyse the invasive adenocarcinoma nodules with the worst recovery in adeno...

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Veröffentlicht in:	BioMed research international 2022, Vol.2022 (1), p.3947434-3947434
Hauptverfasser:	Bhende, Manisha, Thakare, Anuradha, Saravanan, V., Anbazhagan, K., Patel, Hemant N., Kumar, Ashok
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adenocarcinoma Adenocarcinoma - diagnostic imaging Adenocarcinoma - pathology Algorithms Cancer screening Classification Computed tomography Computer-aided medical diagnosis CT imaging Datasets Design Diagnosis Early Detection of Cancer Feature extraction Freezing Humans Invasiveness Investigations Lung - pathology Lung cancer Lung Neoplasms - diagnostic imaging Lung Neoplasms - pathology Lung nodules Machine learning Medical imaging Medical screening Methods Morphology Neural networks Nodules Pathology Solitary Pulmonary Nodule - diagnostic imaging Solitary Pulmonary Nodule - pathology Tomography, X-Ray Computed - methods Tumors
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