Skip to Main content Skip to Navigation
Conference papers

Semi-Automated Quantitative Validation Tool for Medical Image Processing Algorithm Development

Abstract : Cancer research and diagnostics is an important frontier to apply the power of computers. Researchers use image processing techniques for a few years now, but diagnostics only start to explore its possibilities. Pathologists specialized in this area usually diagnose by visual inspection, typically through a microscope, or more recently on a computer screen. They examine at tissue specimen or a sample consisting of a population cells extracted from it. The latter area is the area of cytometry that researchers started to support by creating image processing algorithms. The validation of an image processing approach like that is an expensive task both financially and time-wise. This paper aims to show a semi-automatized method to simplify this task, by reducing the amount of human interaction necessary.
Complete list of metadatas

Cited literature [6 references]  Display  Hide  Download

https://hal.inria.fr/hal-01343487
Contributor : Hal Ifip <>
Submitted on : Friday, July 8, 2016 - 3:00:16 PM
Last modification on : Wednesday, December 11, 2019 - 5:10:02 PM

File

336594_1_En_25_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Viktor Jonas, Miklos Kozlovszky, Bela Molnar. Semi-Automated Quantitative Validation Tool for Medical Image Processing Algorithm Development. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. pp.231-238, ⟨10.1007/978-3-319-16766-4_25⟩. ⟨hal-01343487⟩

Share

Metrics

Record views

79

Files downloads

130