MODIFICATION
70 -- Visual content analysis of biomedical images for clinical decision support
- Notice Date
- 8/24/2011
- Notice Type
- Modification/Amendment
- NAICS
- 611310
— Colleges, Universities, and Professional Schools
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Library of Medicine, 6707 Democracy Blvd., Suite 105, Bethesda, Maryland, 20894, United States
- ZIP Code
- 20894
- Solicitation Number
- NLM-11-157-SV
- Archive Date
- 8/30/2011
- Point of Contact
- Suet Vu, Phone: 301-496-6546
- E-Mail Address
-
vus@mail.nih.gov
(vus@mail.nih.gov)
- Small Business Set-Aside
- N/A
- Description
- This is a Small Business Sources Sought Notice. This is NOT a solicitation for proposals, proposal abstracts, or quotations. The purpose of this notice is to obtain information regarding: (1) the availability and capability of qualified small business sources; (2) whether they are small businesses; HUBZone small businesses; service- disabled, veteran-owned small businesses; 8(a) small businesses; veteran-owned small businesses; woman-owned small businesses; or small disadvantaged businesses; and (3) their size classification relative to the North American Industry Classification System (NAICS) code for the proposed acquisition. Your responses to the information requested will assist the Government in determining the appropriate acquisition method, including whether a set-aside is possible. An organization that is not considered a small business under the applicable NAICS code should not submit a response to this notice. The National Institutes of Health (NIH), National Library of Medicine (NLM) is conducting a market survey to help determine the availability and technical capability of qualified small businesses, veteran-owned small businesses and/or HUBZone small businesses capable of serving the needs identified below. This Sources Sought Notice is for informational and planning purposes only and shall not be construed as a solicitation or as an obligation or commitment by the Government. This notice is intended strictly for market research. Background The National Library of Medicine (NLM), in Bethesda, Maryland, is a part of the National Institutes of Health, US Department of Health and Human Services (HHS). Objectives The purpose of this procurement is to conduct research and development for selected topics in: (i) biomedical graphical figure content analysis; and, (ii) uterine cervical cancer histology image classification, toward improving the state of art in clinical decision support. Specifically, graphical figure content analysis shall improve existing graphical image classification that separates statistical figures (pie charts, bar charts, line charts) from diagrams (drawings, illustrations), and flowcharts to also separate statistical figure subtypes: pie charts, bar charts, and line charts. It is desirable to see significant increases in overall classification accuracy while maintaining robustness against variety of image types seen in the biomedical literature. Further, the offeror shall develop methods to extract content from bar charts (axes labels, tick mark values, bar values, and associate multiple bars with appropriate legend items). For histology classification task the offeror shall design, implement, and test an algorithm for classification of epithelium tissue of the uterine cervix as Normal, CIN1, CIN2, or CIN3, in digitized, histology images in which the epithelium tissue has been segmented. Project Requirements The contractor will be required to perform the following tasks: Task 1. Biomedical Graphical Figure Content Analysis: (a) Improve existing graphical image classification performance to separate statistical figures (pie charts, bar charts, line charts) from diagrams (drawings, illustrations), and flowcharts; (b) Develop methods to separate pie charts, bar charts, and line charts; (c) Develop methods to extract content from bar charts (axes labels, tick mark values, bar values, and associate multiple bars with appropriate legend items). Task 2. Histology Image Classification: Design, implement, and test an algorithm for classification of epithelium tissue of the uterine cervix as Normal, CIN1, CIN2, or CIN3, in digitized, histology images in which the epithelium tissue has been segmented. Anticipated Period of Performance The period of performance shall be twelve (12) months from the date of award. An award is anticipated to be made on or about September 19, 2011. Other Important Considerations The proposed acquisition will be procured in accordance with the policies and procedures under FAR 13-Simplified Acquisition Procedures. All responsible sources may submit a capability statement which will be considered by the National Library of Medicine. This Sources Sought Notice is not a Request for Quotes (RFQ), nor is an RFQ available. Interested firms responding to this Sources Sought Notice must adhere to the following: (a) Provide a capability statement demonstrating relevant experience, skills and ability to fulfill the Government's requirements for the above. The capability statement should contain enough sufficient detail for the Government to make an informed decision regarding your capabilities; however, the statement should not exceed 10 pages. (b) The capability statement must identify the responder's: small business type and size; DUNS number; NAICS code; and technical and administrative points of contact, including names, titles, addresses, telephone and fax numbers, and e-mail addresses. (c) All capability statements must be submitted electronically no later than 1:00pm eastern standard time on Mondday, August 29, 2011 to Suet Vu, vus@mail.nih.gov. Disclaimer and Important Notes: This notice does not obligate the Government to award a contract or otherwise pay for the information provided in response. The Government reserves the right to use information provided by respondents for any purpose deemed necessary and legally appropriate. Any organization responding to this notice should ensure that its response is complete and sufficiently detailed to allow the Government to determine the organization's qualifications to perform the work. Respondents are advised that the Government is under no obligation to acknowledge receipt of the information received or provide feedback to respondents with respect to any information submitted. After a review of the responses received, a pre-solicitation synopsis and solicitation may be published in Federal Business Opportunities. However, responses to this notice will not be considered adequate responses to a solicitation. Confidentiality: No proprietary, classified, confidential, or sensitive information should be included in your response. The Government reserves the right to use any non-proprietary technical information in any resultant solicitation(s).
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/NIH/OAM/NLM-11-157-SV/listing.html)
- Place of Performance
- Address: Bethesda, Maryland, 20892, United States
- Zip Code: 20892
- Zip Code: 20892
- Record
- SN02548711-W 20110826/110825001142-63c3885ced40cac58c337632375d5ae2 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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