Objective
Skin cancer has the highest rate of increase for all types of cancer. On the other hand, even the virulent skin cancers such as malignant melanoma can be cured. The key is early detection and the key to early detection is regular screening. There exists a clear need to improve the quantity and quality of skin cancer screening in Europe and, indeed, world-wide. That requirement, which will increase in the future, cannot be met by the current dermatologist-based methods as they are too costly and require highly skilled physicians.
The primary objective of this project therefore was to develop a laboratory prototype of CANDACE (Classification And Neural Diagnostic Analysis for Cancer of the Epidermis) into a marketable medical device and pave the way for its deployment throughout Europe. The tool was intended to be used by relatively untrained and low cost physician assistants (i.e. nurses, technicians, etc.) to pre-screen patients for malignant melanoma. CANDACE provides not only better health care but does so at lower cost to the social system, while simultaneously improving the profit margin of the clinic or medical practice.
CANDACE is easy to handle: patient information is first entered to the system, afterwards the operator images the skin lesions with a video camera. Upon activation, the system analyses the image and patient's data and within seconds issues the result: benign or suspicious. Patients having only benign lesions may be given a clean bill of health, patients with a suspicious lesion are referred to a trained dermatologist or oncologist.
CANDACE uses sophisticated image processing, feature extraction, pattern classification and artificial neural network techniques to produce a diagnosis. Features extracted from the preprocessed image correspond to those used by dermatologists following the ABCD rule; Asymmetry, Border, Color, and Diameter. The artificial neural network provides CANDACE with the ability to learn lesion types through repeated exposure to examples much in the same way as its biological counterpart (the dermatologist) learns to make its diagnosis. To train the neural network, CANDACE needs a data collection of examples from a wide-based, multi ethnic population with different skin types. The well-trained artificial neural network's classification promises to be as good as those of the dermatologist or even better.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- medical and health sciences clinical medicine oncology skin cancer melanoma
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
44801 BOCHUM
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.