In an Object Based Image Analysis Classification (OBIA) process, the quality of the classification results are highly dependent on segmentation. However, a high number of the studies that make use of an OBIA process find the segmentation parameters by making use of trial-and-error methods. It is clear that a lack of a structured procedure to determine the segmentation parameters produces unquan...

This paper presents a new extractive approach to automatic summarization based on the gist of the source text. The gist-based system, called GistSumm (GIST SUMMarizer), uses the gist as a guideline to identify and select text segments to include in the final extract. Automatically produced extracts have been evaluated under the light of gist preservation and textuality.

This paper investigates the reliability of phonetic boundaries obtained through automatic segmentation of non-native speech for automatic prosodic feedback for foreign language learning. Indeed, prosodic feedback requires checking the fundamental frequency and the duration of phonetic segments of the learner utterances with respect to some reference patterns. Segmentation evaluations carried ou...

BACKGROUND Intensity modulated radiotherapy for head and neck cancer necessitates accurate definition of organs at risk (OAR) and clinical target volumes (CTV). This crucial step is time consuming and prone to inter- and intra-observer variations. Automatic segmentation by atlas deformable registration may help to reduce time and variations. We aim to test a new commercial atlas algorithm for a...

assessment of cardiac right‑ventricle functions plays an essential role in diagnosis of arrhythmogenic right ventricular dysplasia (arvd). among clinical tests, cardiac magnetic resonance imaging (mri) is now becoming the most valid imaging technique to diagnose arvd. fatty infiltration of the right ventricular free wall can be visible on cardiac mri. finding right‑ventricle functional paramete...

Medical image segmentation has become an essential technique in clinical and researchoriented applications. Because manual segmentation methods are tedious, and semi automatic segmentation lacks the flexibility, fully-automatic methods have become the preferred type of medical image segmentation. This work proposes a robust fully automatic segmentation scheme based on the modified contouring te...