The present study aimed to develop a more accurate deep learning model by clubbing convolutional and bidirectional recurrent neural networks. The NSCLC ...
Apr 24, 2020 · The present study aimed to develop a more accurate deep learning model by clubbing convolutional and bidirectional recurrent neural networks.
The present study aimed to develop a more accurate deep learning model by clubbing convolutional and bidirectional recurrent neural networks. The NSCLC ...
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May 13, 2024 · ... Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network). ... non-small cell lung cancer (NSCLC) tumors.
Prediction of non-small cell lung cancer histology by a deep ensemble of convolutional and bidirectional recurrent neural network. J. Digit. Imaging, 33 ...
May 2, 2023 · Non-small cell lung cancer (NSCLC) represents 85% of all new lung cancer diagnoses and presents a high recurrence rate after surgery. Thus, an ...
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network. Article. Apr 2020.
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network · Dipanjan MoitraR. Mandal.
Moitra D., Mandal R.K.. Prediction of non-small cell lung cancer histology by a deep ensemble of convolutional and bidirectional recurrent neural network. J ...
摘要. Histology subtype prediction is a major task for grading non-small cell lung cancer (NSCLC) tumors. Invasive methods .