Simulation of bright-field microscopy images depicting pap-smear specimen.

ABSTRACT: As digital imaging is becoming a fundamental part of medical and biomedical research, the demand for computer-based evaluation using advanced image analysis is becoming an integral part of many research projects. A common problem when developing new image analysis algorithms is the need of large datasets with ground truth on which the algorithms can be tested and optimized. Generating such datasets is often tedious and introduces subjectivity and interindividual and intraindividual variations. An alternative to manually created ground-truth data is to generate synthetic images where the ground truth is known. The challenge then is to make the images sufficiently similar to the real ones to be useful in algorithm development. One of the first and most widely studied medical image analysis t

SUBMITTER: Malm P 

PROVIDER: S-EPMC4374707 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature