Artificial Intelligence in Breast Cancer Early Detection and Diagnosis. (Record no. 29496)
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| 000 -LEADER | |
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| fixed length control field | 03098nam a22002777a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 20241031125321.0 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241031125713.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241031b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-3-030-59207-3 |
| International Standard Book Number | 978-3-030-59208-0 (eBook) |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | ddc |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Fuller form of name | Khalid Shaikh |
| 222 ## - KEY TITLE | |
| Key title | abnormal abnormal cells action AI analysis applications artificial intelligence better biopsy blood body breast cancer breast cancer risk breast tissue called cancer cells carcinoma cause changes classification cluster common contain dataset decision deep learning depends detection developed diagnosis disease doctors drugs early effects example extraction factors Fig function gene given gives growth healthcare higher hormone identify important improve increase input input data known Last Access layer learning algorithms look lump lymph nodes machine learning mammogram mean medical imaging medicine methods MRI needed neural network nipple normal organs output patients performance predict present problems radiation receptors remove requires risk screening skin spread stage steps studies symptoms techniques technologies theory therapy tion treatment tree tumor type of breast type of cancer ultrasound various vector weight women x-ray Yes |
| 245 ## - TITLE STATEMENT | |
| Title | Artificial Intelligence in Breast Cancer Early Detection and Diagnosis. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Prognica Labs Dubai, United Arab Emirates | |
| Name of publisher, distributor, etc. | Springer Nature Switzerland AG | |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 117 Pages |
| Extent | Includes References and Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer.<br/><br/>Discusses various existing screening methods for breast cancerPresents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics |
| 600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
| General subdivision | Artificial intelligence, Biomedical engineering, Computers / Artificial Intelligence / General, Machine learning, Medical / Allied Health Services / Imaging Technologies, Medical / Biochemistry, Medical / General, Radiology, Technology & Engineering / Biomedical, Artificial intelligence -- Medical applications, Breast -- Cancer -- Diagnosis -- Data processing, Diagnostic imaging -- Data processing, Image processing. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Fuller form of name | Sabitha Krishnan |
| Fuller form of name | Rohit Thanki |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href=" https://doi.org/10.1007/978-3-030-59208-0 "> https://doi.org/10.1007/978-3-030-59208-0 </a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | ddc |
| Koha item type | E-BOOKS |
| Suppress in OPAC | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Barcode | Date last seen | Copy number | Uniform resource identifier | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO | MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO | 10/31/2024 | 20241031125321.0 | 10/31/2024 | 20241031125321.0 | https://doi.org/10.1007/978-3-030-59208-0 | 10/31/2024 | E-BOOKS |