Lung cancer is the most common cancer in the world. More people die as a result of lung cancer each year than from breast, colorectal, and prostate cancer combined. Lung nodule detection is an ...

Time performance diagrams could be built notebook/results. The pre-trained models' weights can be found in the model folder. She source code for each of them is located at the lowres/model folder. The ...

Materials and Methods: Three public datasets containing images of lung nodules/lung cancers were used: LUNA16 dataset, Decathlon lung dataset, and NSCLC radiogenomics. The LUNA16 dataset was used to ...

The experimental results on a balanced LUNA16 dataset have achieved an accuracy of above 98%. In this way, the suspected pulmonary nodules in the CT image of the case can be quickly selected by the ...

The system is trained and validated using a publicly available LUNA16 dataset in a 10 fold cross validation approach where a competition performance metric (CPM) score of 0.931 is achieved. The ...

Experimental results show that this co-training yields better performance on both tasks. The framework is validated on the LUNA16 and LIDC-IDRI datasets and a pseudo-label approach is proposed for ...

The proposed methods are tested and evaluated on publicly available LUNA16 dataset and the independent dataset from Ali TianChi challenge. Experimental results show that Mask R-CNN of weighted loss ...