Lung cancer and imaging /

Lung cancer is one of the most common cancers in both men and women worldwide. Early diagnosis of lung cancer can significantly increase the chances of a patient's survival, yet early detection has historically been difficult. As a result, there has been a great deal of progress in the developm...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: El-Baz, Ayman S. (Editor ), Suri, Jasjit S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2020]
Colección:IOP ebooks. 2020 collection.
IPEM-IOP series in physics and engineering in medicine and biology.
Temas:
Lungs > Cancer > Imaging.
Lung Neoplasms > diagnostic imaging.
Radiography.
Diagnostic Imaging > methods.
Medical imaging.
MEDICAL / Allied Health Services / Imaging Technologies.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Early diagnosis system for lung nodules based on the integration of a higher-order MGRF appearance feature model and 3D-CNN
  • 1.1. Introduction
  • 1.2. Methods
  • 1.3. Experimental results
  • 1.4. Conclusion
  • 2. Capsule networks for lung cancer screening
  • 2.1. Introduction
  • 2.2. Capsule network
  • 2.3. Fast capsule network
  • 2.4. Dataset
  • 2.5. Experiments
  • 2.6. Results and discussion
  • 2.7. Conclusions
  • 3. Quantitative malignancy recognition of lung cancer using non-invasive image modalities
  • 3.1. Introduction
  • 3.2. Materials and methods
  • 3.3. Conclusion
  • 4. Epidemiology of lung cancer
  • 4.1. Descriptive epidemiology of lung cancer
  • 4.2. Risk factors of lung cancer
  • 4.3. Lung cancer in never-smokers
  • 4.4. Screening
  • 4.5. Conclusion
  • 5. Use of biomarkers in lung cancer diagnosis, prognosis, and treatment
  • 5.1. Introduction
  • 5.2. Histological subtypes and respective personalized medicine
  • 5.3. Available screening assays to detect molecular alterations and genetic rearrangements
  • 5.4. Molecular methods used to detect mutations
  • 5.5. Genomic markers
  • 5.6. Proteomic markers
  • 5.7. Metabolic markers
  • 5.8. Immunotherapy markers
  • 5.9. The emerging role of microRNAs
  • 5.10. Clinical trials with targetable oncogenic drivers
  • 5.11. Conclusion
  • 6. Radiomics and lung cancer : promising news for early detection of nodules
  • 6.1. Introduction
  • 6.2. Interpretation of small lung nodules
  • 6.3. Computer-aided detection/diagnosis (CAD)
  • 6.4. Radiomics
  • 6.5. Conclusion
  • 7. Photodynamic diagnosis and treatment of lung cancer
  • 7.1. Introduction
  • 7.2. Cancer
  • 7.3. Photodynamic diagnosis
  • 7.4. Photodynamic therapy
  • 7.5. Conclusion
  • 8. Cold atmospheric plasma and iron oxide based magnetic nanoparticles for synergetic lung cancer therapy
  • 8.1. Introduction
  • 8.2. Therapeutic effect of cold atmospheric plasma in lung cancer
  • 8.3. The therapeutic effect of magnetic iron oxide nanoparticles in lung cancer
  • 8.4. Synergistic therapeutic effects of cold atmospheric plasma and magnetic iron oxide nanoparticles in lung cancer
  • 8.5. The synergistic therapeutic effect of cold atmospheric plasma and drug-loaded magnetic nanoparticles in lung cancer
  • 8.6. Conclusions
  • 9. Exploiting exhaled aerosol fingerprints to detect lung cancers and obstructive respiratory diseases
  • 9.1. Introduction
  • 9.2. Methods and materials
  • 9.3. Results
  • 9.4. Discussion
  • 9.5. Conclusion
  • 10. A study of ground-glass opacity (GGO) nodules in the automated detection of lung cancer
  • 10.1. Introduction
  • 10.2. Ground-glass opacity (GGO) nodules
  • 10.3. Computer-aided detection of GGO nodules
  • 10.4. Different ways to handle GGOs in automated detection
  • 10.5. Conclusion
  • 11. Electromagnetic imaging and lung ablation
  • 11.1. Introduction
  • 11.2. Electrical impedance tomography
  • 11.3. Magnetic induction tomography
  • 11.4. Microwave imaging
  • 11.5. Lung ablation
  • 11.6. Current trends and future perspectives
  • 11.7. Conclusion.

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