Application of Artificial Intelligence in Early Detection of Lung Cancer
Application of Artificial Intelligence in Early Detection of Lung Cancer
Kar, Madhuchanda; Mukherjee, Jhilam; Das, Sayan; Chakrabarti, Amlan
Elsevier Science & Technology
05/2024
450
Mole
Inglês
9780323952453
Pré-lançamento - envio 15 a 20 dias após a sua edição
2. Basics of Lung Cancer Imaging
3. Terminologies of Lung cancer (biopsy, cytology, lung anatomy, radiological features related to lung cancer)
4. Overview of Pattern Recognition Technique
5. Deep learning Techniques
6. Nodule Detection (Segmentation of pulmonary abnormalities and differentiation of pulmonary nodule from pulmonary vessels and similar looking pulmonary abnormalities)
7. Radiological Feature Analysis based Risk Prediction (Analysis of shape, margin, presence of calcification, necrotic pattern, classification of nodule based on anatomical positions and density)
8. Nodule Localization (Among which lobes the pulmonary nodules are initiated)
9. 3D Modelling (3D segmentation of pulmonary nodules.)
10. Conclusion
2. Basics of Lung Cancer Imaging
3. Terminologies of Lung cancer (biopsy, cytology, lung anatomy, radiological features related to lung cancer)
4. Overview of Pattern Recognition Technique
5. Deep learning Techniques
6. Nodule Detection (Segmentation of pulmonary abnormalities and differentiation of pulmonary nodule from pulmonary vessels and similar looking pulmonary abnormalities)
7. Radiological Feature Analysis based Risk Prediction (Analysis of shape, margin, presence of calcification, necrotic pattern, classification of nodule based on anatomical positions and density)
8. Nodule Localization (Among which lobes the pulmonary nodules are initiated)
9. 3D Modelling (3D segmentation of pulmonary nodules.)
10. Conclusion