Skin Cancer Recognition by Computer Vision
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
{'SignBlockName': 'Ritchie B. Coryell', 'PO_EMAI': None, 'PO_PHON': None}
This research is directed to computer software for                         assisting physicians in the diagnosis of skin malignancies,                     including malignant melanoma, squamous cell carcinoma, and                      basal cell epithelioma.  The purpose is to combine a computer                   program with a computer vision front end and a video disk tumor                 image reference file to create a useful diagnostic tool for                     skin cancer.  This research project involves algorithms found                   in Phase I research to detect types of tumors with high                         accuracy.  Early results show the feasibility of detecting                      tumor borders, ulcers, telangiectases, and semitranslucencies.                       This proposal addresses the important area of the                          application of artificial intelligence techniques to computer                   vision.  Such techniques have potentially enormous commercial                   applications in such fields as robotics and industrial                          automation as well as medical imaging.  An automatic tumor                      recognition device could serve the nation's interest in                         continuing the lead in medical diagnostic devices.  It is hoped                 that the recognition of biologic images, so far eluding                         computer vision researchers except in limited domains, will be                  advanced by the development of an expert tumor diagnosis system
{'FirstName': 'William', 'LastName': 'Stoecker', 'PI_MID_INIT': 'V', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William V Stoecker', 'EmailAddress': None, 'NSF_ID': '000396812', 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'William V Stoecker', 'CityName': 'ROLLA', 'ZipCode': '654017714', 'PhoneNumber': '3143640122', 'StreetAddress': '10101 STOLTZ DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MO08', 'ORG_UEI_NUM': 'UYL3F1M5BGK7', 'ORG_LGL_BUS_NAME': 'STOECKER WILLIAM V MD', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '5373', 'Text': 'SBIR Phase II'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8521284.xml'}