Artificial Intelligence in Cancer Diagnosis and Therapy
This reprint covers some significant impacts in the recent research in both the private and public sectors of cancer diagnosis and therapy, in which Artificial Intelligence (AI) and Machine Learning are significant. This reprint is also a collection of forty different complex and challenging problem...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| 主題: | |
| 在線閱讀: | ONIX_20230405_9783036566726_220 |
| 標簽: |
沒有標簽, 成為第一個標記此記錄!
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| _version_ | 1869526190949138432 |
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| collection | Directory of Open Access Books |
| description | This reprint covers some significant impacts in the recent research in both the private and public sectors of cancer diagnosis and therapy, in which Artificial Intelligence (AI) and Machine Learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups: AI in prognosis, grading, and prediction, AI in clinical image analysis, AI models for pathological diagnosis, ML and statistical models for molecular cancer diagnostics and genetics, and AI in triage, risk stratification, and screening cancer, which are all focused on using AI in cancer diagnosis and therapy. All the necessary concepts, solutions, methodologies, and references are supplied except for some fundamental knowledge that is well-known in the general fields of AI and cancer diagnosis and therapy. The readers may, therefore, gain the main concepts of each chapter, with as little of a need as possible to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the book for their own interests. |
| format | Online |
| id | doab-20.500.12854ir-98941 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-989412024-03-31T13:10:43Z Artificial Intelligence in Cancer Diagnosis and Therapy Khayyam, Hamid Madani, Ali Kafieh, Rahele Hekmatnia, Ali artificial intelligence machine learning bioinformatics modeling complex biological systems   computational cancer biology computational drug discovery radiology radiation therapy (oncology) cancer diagnosis and cancer therapy. thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology This reprint covers some significant impacts in the recent research in both the private and public sectors of cancer diagnosis and therapy, in which Artificial Intelligence (AI) and Machine Learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups: AI in prognosis, grading, and prediction, AI in clinical image analysis, AI models for pathological diagnosis, ML and statistical models for molecular cancer diagnostics and genetics, and AI in triage, risk stratification, and screening cancer, which are all focused on using AI in cancer diagnosis and therapy. All the necessary concepts, solutions, methodologies, and references are supplied except for some fundamental knowledge that is well-known in the general fields of AI and cancer diagnosis and therapy. The readers may, therefore, gain the main concepts of each chapter, with as little of a need as possible to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the book for their own interests. 2023-04-05T13:00:09Z 2023-04-05T13:00:09Z 2023 book ONIX_20230405_9783036566726_220 9783036566726 9783036566733 https://directory.doabooks.org/handle/20.500.12854/98941 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/topic/6994 https://mdpi.com/books/pdfview/topic/6994 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6673-3 10.3390/books978-3-0365-6673-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036566726 9783036566733 672 Basel open access |
| spellingShingle | artificial intelligence machine learning bioinformatics modeling complex biological systems   computational cancer biology computational drug discovery radiology radiation therapy (oncology) cancer diagnosis and cancer therapy. thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Artificial Intelligence in Cancer Diagnosis and Therapy |
| title | Artificial Intelligence in Cancer Diagnosis and Therapy |
| title_full | Artificial Intelligence in Cancer Diagnosis and Therapy |
| title_fullStr | Artificial Intelligence in Cancer Diagnosis and Therapy |
| title_full_unstemmed | Artificial Intelligence in Cancer Diagnosis and Therapy |
| title_short | Artificial Intelligence in Cancer Diagnosis and Therapy |
| title_sort | artificial intelligence in cancer diagnosis and therapy |
| topic | artificial intelligence machine learning bioinformatics modeling complex biological systems   computational cancer biology computational drug discovery radiology radiation therapy (oncology) cancer diagnosis and cancer therapy. thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | artificial intelligence machine learning bioinformatics modeling complex biological systems   computational cancer biology computational drug discovery radiology radiation therapy (oncology) cancer diagnosis and cancer therapy. thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20230405_9783036566726_220 |