Samulski.nl - Maurice Samulski » decision aid

Promoted!

Maurice Samulski — Thu, 15 Dec 2011 15:25:24 +0000

On 14 december 2011, I successfully defended my PhD thesis against a committee consisting of Nico Karssemeijer and Peter Lucas (as my promoters), Tom Heskes, Mathias Prokop, Boudewijn Lelieveldt, Roland Holland, Frans Vos, Marina Velikova, and Bram van Ginneken.

Just send me an email if you are interested in my work (msamulski at gmail dot com) and want to request a hardcopy of my thesis (for free). Or get it online here or here

Thanks to everyone that was at my defense, and thanks for all the presents. It was an unforgettable day. Click on more to see the photos my fiancée made.

Thesis defense

Maurice Samulski — Tue, 15 Nov 2011 13:09:00 +0000

Finally! After five years of research and article writing, I am glad to announce that I am defending my Ph.D. thesis “Computer Aided Detection as a Decision Aid in Medical Screening” on wednesday, 14th december 2011 at 10.30 in the aula of the Radboud University Nijmegen. You are all welcome to attend this public defense. Afterwards, a reception will take place in the aula.

The thesis has been printed by Ipskamp Drukkers and is currently being shipped out. If you didn’t receive a copy, please send me an email with your address and I’ll make sure you will get a copy. Meanwhile, my thesis and invitation is also available online:

Download thesis and invitation

My first journal article

Maurice Samulski — Mon, 14 Jun 2010 14:19:56 +0000

Yes!! After almost three years of hard work, I have my first journal article accepted for publication by European Radiology. It is published as open-access, so the article is free for everyone to download as a PDF. The article is entitled: “Using computer-aided detection in mammography as a decision support”. I’m very thrilled with my first publication, and I hope that I am on the right track getting my PhD. My second article about a multi-view CAD system is almost ready to be sent to an other journal for consideration. Read further for the abstract.

OBJECTIVE: To evaluate an interactive computer-aided detection (CAD) system for reading mammograms to improve decision making.
METHODS: A dedicated mammographic workstation has been developed in which readers can probe image locations for the presence of CAD information. If present, CAD findings are displayed with the computed malignancy rating. A reader study was conducted in which four screening radiologists and five non-radiologists participated to study the effect of this system on detection performance. The participants read 120 cases of which 40 cases had a malignant mass that was missed at the original screening. The readers read each mammogram both with and without CAD in separate sessions. Each reader reported localized findings and assigned a malignancy score per finding. Mean sensitivity was computed in an interval of false-positive fractions less than 10
RESULTS: Mean sensitivity was 25.1% in the sessions without CAD and 34.8% in the CAD-assisted sessions. The increase in detection performance was significant (p = 0.012). Average reading time was 84.7 +/- 61.5 s/case in the unaided sessions and was not significantly higher when interactive CAD was used (85.9 +/- 57.8 s/case).
CONCLUSION: Interactive use of CAD in mammography may be more effective than traditional CAD for improving mass detection without affecting reading time.