MedGIFT at ImageCLEF 2008
نویسندگان
چکیده
This article describes the participation of the Geneva University Hospitals and the University of Geneva at the 2008 ImageCLEF image retrieval benchmark. We concentrated on the two tasks concerning medical imaging. The visual information analysis is based on the GNU Image Finding Tool (GIFT). Other information such as textual information and aspect ratio are integrated to improve the results. The main techniques are the same as in past years, with a little tuning to slightly improve results. For the visual tasks it becomes clear that the baseline GIFT runs do not have the same performance as more sophisticated modern techniques do. GIFT can be seen as a baseline for the visual retrieval as it has been used for the past five years in ImageCLEF. Due to time constraints no optimizations could be performed and no relevance feedback was used, usually one of the strong points of GIFT.
منابع مشابه
The MedGIFT group at ImageCLEF
This article describes the participation of the MedGIFT research group at the 2008 ImageCLEFmed image retrieval benchmark. We concentrated on the two tasks concerning medical imaging. The visual information analysis is mainly based on the GNU Image Finding Tool (GIFT). Other information such as textual information and aspect ratio were integrated to improve our results. The main techniques are ...
متن کاملThe MedGIFT Group at ImageCLEF 2009
MedGIFT is a medical imaging research group of the Geneva University Hospitals and the University of Geneva, Switzerland. Since 2004, the medGIFT group has participated in the ImageCLEF benchmark each year, focusing mainly on the medical imaging tasks. For the medical image retrieval task, two existing retrieval engines were used: the GNU Image Finding Tool (GIFT) as image retrieval engine and ...
متن کاملThe Use of MedGIFT and EasyIR for ImageCLEF 2005
This article describes the use of medGIFT and easyIR for three of four ImageCLEF 2005 tasks. All results rely on two systems: the GNU Image Finding Tool (GIFT ) for visual retrieval, and easyIR for text. For ad–hoc retrieval, two visual runs were submitted. No textual retrieval was attempted, resulting in lower scores than those using text retrieval but the best visual run. For medical retrieva...
متن کاملThe medGIFT Group in ImageCLEFmed
This article presents the participation of the medGIFT group in ImageCLEFmed 2012. Since 2004, the group has participated in the medical image retrieval tasks of ImageCLEF each year. There are three types of tasks for ImageCLEFmed 2012: modality classification, image– based retrieval and case–based retrieval. The medGIFT group participated in all three tasks. MedGIFT is developing a system name...
متن کاملThe medGIFT Group in ImageCLEFmed 2013
This article presents the participation of the medGIFT group in ImageCLEFmed 2013. Since 2004, the group has participated in the medical image retrieval tasks of ImageCLEF each year. There are four types of tasks for ImageCLEFmed 2013: modality classification, image– based retrieval, case–based retrieval and a new task on compound figure separation. The medGIFT group participated in all four ta...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008