Automated Detection of Pulmonary Nodules from Low-Dose Computed Tomography Scans using a Two-Stage Classification System based on Local Image Features

K. Murphy; A.M.R. Schilham; H.A. Gietema; W.M. Prokop; B. van Ginneken

Automated Detection of Pulmonary Nodules from Low-Dose Computed Tomography Scans using a Two-Stage Classification System based on Local Image Features

Translated title of the contribution: Automated Detection of Pulmonary Nodules from Low-Dose Computed Tomography Scans using a Two-Stage Classification System based on Local Image Features

K. Murphy, A.M.R. Schilham, H.A. Gietema, W.M. Prokop, B. van Ginneken

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Translated title of the contribution	Automated Detection of Pulmonary Nodules from Low-Dose Computed Tomography Scans using a Two-Stage Classification System based on Local Image Features
Original language	Undefined/Unknown
Title of host publication	proceedings of SPIE Medical Imaging
Publication status	Published - 2007

Cite this

@inproceedings{b849b16acdef4ff999d529d7eee21b92,

title = "Automated Detection of Pulmonary Nodules from Low-Dose Computed Tomography Scans using a Two-Stage Classification System based on Local Image Features",

author = "K. Murphy and A.M.R. Schilham and H.A. Gietema and W.M. Prokop and {van Ginneken}, B.",

year = "2007",

language = "Undefined/Unknown",

booktitle = "proceedings of SPIE Medical Imaging",

}