| 000 | 03098nam a22002777a 4500 | ||
|---|---|---|---|
| 001 | 20241031125321.0 | ||
| 003 | OCoLC | ||
| 005 | 20241031125713.0 | ||
| 008 | 241031b |||||||| |||| 00| 0 eng d | ||
| 020 | _a 978-3-030-59207-3 | ||
| 020 | _a978-3-030-59208-0 (eBook) | ||
| 040 | _cddc | ||
| 041 | _aEnglish | ||
| 100 | _qKhalid Shaikh | ||
| 222 | _aabnormal 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 | _aArtificial Intelligence in Breast Cancer Early Detection and Diagnosis. | ||
| 260 |
_aPrognica Labs Dubai, United Arab Emirates | _b Springer Nature Switzerland AG | _c2021 |
||
| 300 | _a117 Pages | ||
| 300 | _aIncludes References and Index | ||
| 520 | _aThis 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. 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 | _xArtificial 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 | _qSabitha Krishnan | ||
| 700 | _qRohit Thanki | ||
| 856 | _u https://doi.org/10.1007/978-3-030-59208-0 | ||
| 942 |
_2ddc _cEB _n0 |
||
| 999 |
_c29496 _d29496 |
||