A web-based remote collaborative system for visualization and assessment of semi-automatic diagnosis of liver cancer from CT images.
We propose a web-based collaborative CAD system allowing for the remote communication and data exchange between radiologists and researchers in computer vision-based software engineering. The proposed web-based interface is implemented in the Java Advanced Imaging Application Programming Interface. The different modules of the interface allow for 3D and 2D data visualization, as well as for the parametric adjustment of 3D reconstruction process. The proposed web-based CAD system was tested in a pilot study involving a limited number of liver cancer cases. The successful system validation in the feasibility stage will lead to an extended clinical study on CT and MR image databases.
Branzan Albu
Alexandra
A
Computer Vision and Systems Laboratory, Laval University, (Qc), G1K 7P4, Canada. branzan@gel.ulaval.ca
Laurendeau
Denis
D
Gurtner
Marco
M
Martel
Cedric
C
D003936:Diagnosis, Computer-Assisted; D006801:Humans; D020407:Internet; D008113:Liver Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging; D008279:Magnetic Resonance Imaging; D014057:Tomography, X-Ray Computed