Last Posted: May 11, 2021
- A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications.
Hashemzadeh Hadi et al. Scientific reports 2021 11(1) 9804
- Detection of MET exon 14 skipping mutations in non-small cell lung cancer: overview and community perspective.
Subramanian Janakiraman et al. Expert review of anticancer therapy 2021
- Real-world outcomes of first-line pembrolizumab plus pemetrexed-carboplatin for metastatic nonsquamous NSCLC at US oncology practices.
Velcheti Vamsidhar et al. Scientific reports 2021 11(1) 9222
- Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques.
Huang Kaimei et al. Frontiers in oncology 2021 11642945
- Effect of prior therapy on tumor mutational burden in NSCLC.
Jonna Sushma et al. Translational lung cancer research 2021 10(3) 1231-1238
- Performance Evaluation of a Deep Learning System for Differential Diagnosis of Lung Cancer With Conventional CT and FDG PET/CT Using Transfer Learning and Metadata.
Park Yong-Jin et al. Clinical nuclear medicine 2021
- Application of logistic regression and convolutional neural network in prediction and diagnosis of high-risk populations of lung cancer.
Yuan Huijie et al. European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) 2021
- Adherence to NCCN ALK testing guidelines for patients with advanced non-small cell lung cancer in US Community Medical Centers.
Bernicker Eric H et al. The oncologist 2021
- Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis.
Aggarwal Ravi et al. NPJ digital medicine 2021 4(1) 65
- High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels.
Chillakuru Yeshwant Reddy et al. BMC medical imaging 2021 21(1) 66
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