Medical Image Annotation of Patients Based on SHOE

Medical Image Compression Based on Region of Interest

Medical images show a great interest since it is needed in various medical applications. In order to decrease the size of medical images which are needed to be transmitted in a faster way; Region of Interest (ROI) and hybrid lossless compression techniques are applied on medical images to be compressed without losing important data. In this paper, a proposed model will be presented and assessed...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Medical Image Annotation in ImageCLEF

The ImageCLEF 2008 medical image annotation task is designed to assess the quality of content-based image retrieval and image classification by means of global signatures. In contrast to the previous years, the 2008 task was designed such that the hierarchy of reference IRMA code classifications is essential for good performance. In total, 12,076 images were used, and 24 runs of 6 groups were s...

Automatic Medical Image Annotation Task

In this paper, the automatic annotation task of the 2005 CLEF cross-language image retrieval campaign (ImageCLEF) is described. This paper focuses on the database used, the task setup, and the plans for further medical image annotation tasks in the context of ImageCLEF. Furthermore, a short summary of the results of 2005 is given. The automatic annotation task was added to ImageCLEF in 2005 and...

the effect of esp materials on medical studentsreading proficiency

چکیده این تحقیق " مواد درسی " را به عنوان یکی از بحث برانگیزترین موضوعات آموزش زبان تلقی کرده و درتلاش است به سه سوال عمده پاسخ دهد: 1) آیا بکارگیری جزوات گرداوری شده توسط گروهی از مدرسین تاثیر بسزایی در میزان توانش خواندن و درک متون انگلیسی دانشجویان پزشکی دارد؟ 2) آیا استفاده از مواد درسی اصلی( بین المللی )، توانش خواندن و درک متون انگلیسی دانشجویان پزشکی را به طور چشمگیری تحت تاثیر قرار م...