PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /

Lignende værker

• PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’ SYMPTOM DATA AND OVARY ULTRASOUND IMAGES
  af: ALAM SUHA, SAYMA
  Udgivet: (2024)
• AUTOMATED IMAGE PROCESSING APPROACH TO DETECT ECTOPIC PREGNANCY USING ULTRASOUND IMAGES /
  af: Kundu, Pratyusha
  Udgivet: (2022)
• AUTOMATED FRAMEWORK FOR SEGMENTING AND IDENTIFYING THYROID NODULES IN ULTRASOUND IMAGES /
  af: BINTI, BOSHITA ROY
  Udgivet: (2025)
• PREDICTING GREEN SPACE OF A LOCATION THROUGH HISTORICAL IMAGE ANALYSIS AND PREDICTIVE MODELING /
  af: Kabir, Alisha
  Udgivet: (2024)
• EXPLORING BATTLE-WINNING FACTORS FOR PREDICTING AND OPTIMIZING BATTLE OUTCOME THROUGH MACHINE LEARNING TECHNIQUE /
  af: Hasan, Maj Md Mahmudul
  Udgivet: (2024)