PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
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| Materialtyp: | Bok |
| Språk: | engelska |
| Utgiven: |
Dhaka :
CSE DEPT. MIST,
c2022.
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Liknande verk: 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 /
- MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
- EXPLORING BATTLE-WINNING FACTORS FOR PREDICTING AND OPTIMIZING BATTLE OUTCOME THROUGH MACHINE LEARNING TECHNIQUE /