Company Filing History:
2 out of 2 
2 out of 7 
1 out of 1 Years Active: 1998-2008
Title: Innovations by Isaac Leichter in Medical Imaging
Introduction
Isaac Leichter is a notable inventor based in Jerusalem, Israel. He has made significant contributions to the field of medical imaging, particularly in the evaluation of mammograms. With a total of 5 patents to his name, Leichter's work focuses on enhancing the accuracy and efficiency of medical diagnoses.
Latest Patents
One of Leichter's latest patents is a display for computer-aided evaluation of medical images, specifically designed for establishing clinical recommendations. This method involves providing a digitized image of a mammogram and allowing users to select a region of interest directly on the displayed image. The digitized image is processed to generate classifier data for the lesion in the selected area. The overall likelihood of malignancy is then calculated and displayed, along with a clinical recommendation for further assessment. Another significant patent is a workstation for computerized analysis in mammography. This method includes separating and collating mammogram records using a separator film with identifiable features, which assists in organizing mammograms from different patients.
Career Highlights
Leichter has worked with several prominent companies in the medical technology sector, including Sophis View Technologies Ltd. and Siemens Computer Aided Diagnosis Ltd. His experience in these organizations has allowed him to develop innovative solutions that improve the diagnostic process in mammography.
Collaborations
Throughout his career, Leichter has collaborated with notable professionals in the field, including Philippe Nathan Bamberger and Philippe Bamberger. These collaborations have contributed to the advancement of medical imaging technologies.
Conclusion
Isaac Leichter's contributions to medical imaging through his patents and collaborations have significantly impacted the field. His innovative methods enhance the accuracy of mammogram evaluations and improve clinical recommendations for patients.