| _ | sputum | _ |
|---|
| Artificial Neural Network and Fuzzy Clustering Methods in Segmenting | sputum | Color Images for Lung Cancer Diagnosis |
| Automated identification of mycobacterium bacillus from | sputum | images for tuberculosis diagnosis |
| Automated lung cancer detection by the analysis of glandular cells in | sputum | cytology images using scale space features |
| Automatic Detection of Tuberculosis Bacilli from Microscopic | sputum | Smear Images Using Faster R-CNN, Transfer Learning and Augmentation |
| Detection and segmentation of | sputum | cell for early lung cancer detection |
| Random forest-based tuberculosis bacteria classification in images of ZN-stained | sputum | smear samples |
| Segmentation and classification of tuberculosis bacilli from ZN-stained | sputum | smear images |
| Segmentation of | sputum | color image for lung cancer diagnosis |
| Segmentation of | sputum | color image for lung cancer diagnosis based on neural networks |
| Sparse representation of audio features for | sputum | detection from lung sounds |
10 for sputum