Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer. (Record no. 29644)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02258nam a22003137a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 20241105140825.0 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241105141301.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241105b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-3-031-69665-7 |
| International Standard Book Number | 978-3-031-69666-4 (eBook) |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 1860-4862 |
| International Standard Serial Number | 1860-4870 (electronic) |
| 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 | Sejal Shah |
| 222 ## - KEY TITLE | |
| Key title | abnormal adenocarcinoma AI-driven AI-powered algorithms Artificial intelligence AUC Automated biopsies cal cancer cancer cells cancer detection cancer stages cells/class cervical cancer cervical cancer screening chemotherapy CIN CIN1 CIN3 Classification report classifier is given clinical CNNs colposcopy Confusion matrix cotesting cytology dataset deep learning models Detection and Diagnosis Diagnosis of Cervical diagnostic accuracy digital pathology disease Dyskeratotic early detection EHR Electronic Health Records enhance F1 Score false positives Fig genetic healthcare HPV infection HPV testing https://doi human papillomavirus identifying improving indicating integration Journal Koilocytotic Last access lesions logistic regression machine learning Macro average medical images Medicine Metaplastic model incorrectly predicted neural networks Oncology Pap smear image Parabasal pathologists patient outcomes performance potential precancer precancerous precision and recall Presence of HPV prognosis random forest risk factors ROC curve samples smear image classifier squamous cells superficial-intermediate surgery targeted technologies tissue treatment planning true class tumour types Weighted average |
| 240 ## - UNIFORM TITLE | |
| Uniform title | Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer. |
| 245 ## - TITLE STATEMENT | |
| Title | Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Bioinformatics Department Marwadi University Rajkot, Gujarat, India | |
| Name of publisher, distributor, etc. | Springer Nature Switzerland AG | |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 96 Pages |
| Extent | Includes Index |
| 490 ## - SERIES STATEMENT | |
| Series statement | Signals and Communication Technology. |
| 600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
| General subdivision | Oncology. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Fuller form of name | Rohit M. Thanki |
| Fuller form of name | Anjali Diwan |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href=" https://doi.org/10.1007/978-3-031-69666-4 "> https://doi.org/10.1007/978-3-031-69666-4 </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 | 11/05/2024 | 20241105140825.0 | 11/05/2024 | 20241105140825.0 | https://doi.org/10.1007/978-3-031-69666-4 | 11/05/2024 | E-BOOKS |