Artificial intelligence in cancer diagnosis and prognosis. Volume 3, Brain and prostate cancer /

Within this third volume dealing with brain and prostate cancer, the editors and authors detail the latest research related to the application of artificial intelligence (AI) to cancer diagnosis and prognosis and summarize its advantages. It is the intention of the editors and authors to explore how...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: El-Baz, Ayman S. (Editor ), Suri, Jasjit S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (No.2 The Distillery, Glassfields, Avon Street, Bristol, BS2 0GR, UK) : IOP Publishing, [2022]
Colección:IOP (Series). Release 22.
IPEM-IOP series in physics and engineering in medicine and biology.
IOP ebooks. 2022 collection.
Temas:
Cancer > Diagnosis > Data processing.
Cancer > Treatment > Data processing.
Brain > Cancer > Diagnosis > Data processing.
Brain > Cancer > Treatment > Data processing.
Prostate > Cancer > Diagnosis > Data processing.
Prostate > Cancer > Treatment > Data processing.
Artificial intelligence > Medical applications.
Neoplasms > diagnosis.
Neoplasms > therapy.
Brain Neoplasms > diagnosis.
Brain Neoplasms > therapy.
Prostatic Neoplasms > diagnosis.
Prostatic Neoplasms > therapy.
Artificial Intelligence.
Technology, engineering, agriculture.
Biomedical engineering.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Artificial intelligence in prostate cancer treatment with image-guided radiation therapy / Yading Yuan, Ren-Dih Sheu, Tzu-Chi Tseng, James Tam, Yeh-Chi Lo and Richard Stock
  • 2. Artificial-intelligence-based diagnosis of brain tumor diseases / Samir Kumar Bandyopadhyay, Vishal Goyal and Shawni Dutta
  • 3. Multisite brain tumor segmentation using a unified generative adversarial network / Jia Wei, Zecheng Liu, Wenguang Yuan and Rui Li
  • 4. Role of artificial intelligence in automatic segmentation of brain metastases for radiotherapy / Prabhakar Ramachandran, Venkatakrishnan Seshadri, Ben Perrett, Akash Mehta, Davide Fontanarosa, Mark Pinkham and Matthew Foote
  • 5. Applications of artificial intelligence in the fields of brain and prostate cancer / Ayturk Keles and Ali Keles
  • 6. AI-based non-deep learning and deep learning techniques used to accurately predict prostate cancer / Lal Hussain and Adeel Ahmed Abbasi
  • 7. Intelligent brain tumor classification using deep convolutional neural networks with transfer learning / Chung-Ming Lo and Cheng-Yeh Hsieh
  • 8. Big data applications in radiation oncology : challenges and opportunities / William C. Sleeman IV, Sriram Srinivasan, Preetam Ghosh, Jatinder Palta and Rishabh Kapoor
  • 9. A hybrid approach to the hyperspectral classification of in vivo brain tissue : linear unmixing with spatial coherence and machine learning / Ines A. Cruz-Guerrero, Daniel U. Campos-Delgado, Aldo R. Mejia-Rodriguez, Himar Fabelo, Samuel Ortega and Gustavo M. Callico
  • 10. Application and post-hoc explainability of deep convolutional neural networks for bone cancer metastasis classification in prostate patients / Serafeim Moustakidis, Charis Ntakolia, Dimitrios E. Diamantis, Nikolaos Papandrianos and Elpiniki I. Papageorgiou
  • 11. Prostate cancer detection using histopathology image analysis / Sarah M. Ayyad, Mohamed Shehata, Ahmed Shalaby, Mohamed Abou El-Ghar, Mohammed Ghazal, Moumen El-Melegy, Ali Mahmoud, Nahla B. Abdel-Hamid, Labib M. Labib, H. Arafat Ali and Ayman El-Baz
  • 12. Machine learning of gliomas in 3D dynamic contrast enhanced MRI : automatic segmentation and classification / Jiwoong Jason Jeong, Yang Lei, Zhen Tian, Hui Mao, Tian Liu and Xiaofeng Yang.

Ejemplares similares