| 000 | 02258nam a22003137a 4500 | ||
|---|---|---|---|
| 001 | 20241105140825.0 | ||
| 003 | OCoLC | ||
| 005 | 20241105141301.0 | ||
| 008 | 241105b |||||||| |||| 00| 0 eng d | ||
| 020 | _a 978-3-031-69665-7 | ||
| 020 | _a 978-3-031-69666-4 (eBook) | ||
| 022 | _a1860-4862 | ||
| 022 | _a1860-4870 (electronic) | ||
| 040 | _cddc | ||
| 041 | _aEnglish | ||
| 100 | _qSejal Shah | ||
| 222 | _aabnormal 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 | _aArtificial Intelligence for Early Detection and Diagnosis of Cervical Cancer. | ||
| 245 | _aArtificial Intelligence for Early Detection and Diagnosis of Cervical Cancer. | ||
| 260 |
_aBioinformatics Department Marwadi University Rajkot, Gujarat, India | _b Springer Nature Switzerland AG | _c 2024 |
||
| 300 | _a96 Pages | ||
| 300 | _aIncludes Index | ||
| 490 | _aSignals and Communication Technology. | ||
| 600 | _xOncology. | ||
| 700 | _qRohit M. Thanki | ||
| 700 | _qAnjali Diwan | ||
| 856 | _u https://doi.org/10.1007/978-3-031-69666-4 | ||
| 942 |
_2ddc _cEB _n0 |
||
| 999 |
_c29644 _d29644 |
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