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Artificial intelligence in cancer diagnosis and prognosis. Volume 2, Breast and bladder cancer /
Within this second volume dealing with breast and bladder 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 ho...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bristol [England] (No.2 The Distillery, Glassfields, Avon Street, Bristol, BS2 0GR, UK) :
IOP Publishing,
[2022]
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| Colección: | IOP (Series). Release 22.
IPEM-IOP series in physics and engineering in medicine and biology. IOP ebooks. 2022 collection. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Within this second volume dealing with breast and bladder 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 AI assists in these activities, specifically with regard to its unprecedented accuracy, which is even higher than that of general statistical applications in oncology. Ways will also be demonstrated as to how these methods in AI are advancing the field. There have been thousands of papers written between 1995 and 2019 related to AI for cancer diagnosis and prognosis. However, to date (to the best of our knowledge) there has not yet been published a comprehensive overview of the latest findings pertaining to these AI technologies, with a single book project. Therefore, the purpose of this three-volume work, and particularly for this second volume dealing with breast and bladder cancer, is to present a compendium of these findings related to these two pervasive cancers. Many of the chapter authors are world class researchers in these technologies. Within this coverage it is our hope that scientists, researchers and clinicians can successfully incorporate these techniques into other significant cancers such as pancreatic, esophageal, leukemia, melanoma, etc. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology. |
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| Notas: | "Version: 20221001"--Title page verso. |
| Descripción Física: | 1 online resource (various pagings) : illustrations (some color). Also available in print. |
| Público: | Scientists, researchers, practitioners and clinicians dedicated to the application of AI principles in the diagnosis and prognosis of breast and bladder cancer. |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9780750335997 9780750335980 |