PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
Bewaard in:
| Hoofdauteur: | |
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| Coauteur: | |
| Formaat: | Boek |
| Taal: | Engels |
| Gepubliceerd in: |
Dhaka :
CSE DEPT. MIST,
c2022.
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| Onderwerpen: | |
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Gelijkaardige items: PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’ SYMPTOM DATA AND OVARY ULTRASOUND IMAGES
- AUTOMATED IMAGE PROCESSING APPROACH TO DETECT ECTOPIC PREGNANCY USING ULTRASOUND IMAGES /
- AUTOMATED FRAMEWORK FOR SEGMENTING AND IDENTIFYING THYROID NODULES IN ULTRASOUND IMAGES /
- PREDICTING GREEN SPACE OF A LOCATION THROUGH HISTORICAL IMAGE ANALYSIS AND PREDICTIVE MODELING /
- EXPLORING BATTLE-WINNING FACTORS FOR PREDICTING AND OPTIMIZING BATTLE OUTCOME THROUGH MACHINE LEARNING TECHNIQUE /
- Data mining concepts and techniques /