Digitized Cervical Images: Problems, Solutions, and Potential Medical Impact

Objective To demonstrate compression, illumination enhancement, registration, segmentation, automated classification and steganography using digitized cervical images. Materials and Methods The Hybrid Multi-Scale Vector Quantization algorithm developed at Texas Technological University and other automated systems were used to improve digitized cervical images. Results We demonstrated high levels of image compression, illumination enhancement, registration, automated segmentation and classification and steganography of digitized cervical images. Conclusions Digitized cervical images can be altered to facilitate research of cervical neoplasia.

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