Preprocessed PCOS Ultrasound Dataset: CLAHE-Enhanced and Sanitized

This dataset contains a cryptographically sanitized and contrast-enhanced collection of clinical sonographic images for the automated diagnosis of Polycystic Ovary Syndrome (PCOS). This collection serves as a standardized artifact for reproducible medical image analysis. The data has undergone the following processing pipeline to ensure clinical utility and diagnostic accuracy: Standardization: All frames were resized to $224 \times 224$ pixels using padded resizing to maintain aspect ratio integrity. Sanitization: Perceptual Hashing (pHash) was applied to identify and purge duplicate or overlapping frames, ensuring dataset diversity. Enhancement: Contrast Limited Adaptive Histogram Equalization (CLAHE) was utilized to mitigate acoustic speckle noise and enhance follicular boundary definition. Classification: The images are organized into three distinct diagnostic categories: Normal, PCO (Polycystic Ovaries), and Dominant Follicle.