Company Filing History:
Years Active: 2020
Title: Ravneet Kaur: Innovator in Dermoscopy Image Segmentation
Introduction
Ravneet Kaur is a talented inventor based in Secunderabad, India. She has made significant contributions to the field of medical imaging, particularly in the area of dermoscopy. Her innovative work focuses on improving the accuracy of lesion classification through advanced image processing techniques.
Latest Patents
Ravneet holds a patent for her invention titled "Thresholding methods for lesion segmentation in dermoscopy images." This patent describes systems and methods that facilitate the segmentation of dermoscopy images of lesions to aid in their classification. The process begins with receiving a dermoscopy image from an image source, which is then pre-processed and segmented. The segmentation involves applying a thresholding algorithm, which may include various methods such as the Huang auto-thresholding algorithm, Li auto-thresholding algorithm, Shanbhag auto-thresholding algorithm, Otsu auto-thresholding algorithm, or Isodata thresholding algorithm. Additionally, a weighted border error metric is provided to predict whether the segmentation will avoid excluding portions of the lesion. The invention also includes a test to determine if image inversion is necessary for optimal borders and an iterative expansion algorithm to assess the need for expansion in segmentation.
Career Highlights
Ravneet Kaur is currently employed at Stoecker & Associates LLC, where she continues to develop her expertise in medical imaging technologies. Her work is instrumental in enhancing the capabilities of dermoscopy, which is crucial for early detection and diagnosis of skin lesions.
Collaborations
Ravneet collaborates with notable professionals in her field, including William Van Dover Stoecker and Nabin K Mishra. These collaborations contribute to the advancement of her research and the practical application of her inventions.
Conclusion
Ravneet Kaur is a pioneering inventor whose work in dermoscopy image segmentation is making a significant impact in the medical field. Her innovative approaches are paving the way for improved diagnostic techniques and better patient outcomes.