The task of segmentation brain regions affected by ischemic stroke is help to tackle important challenges modern imaging analysis. Unfortunately, at the moment, models for solving this problem using machine learning methods are far from ideal. In paper, we consider a modified 3D UNet architecture improve quality based on computed tomography images. We use ISLES 2018 (Ischemic Stroke Lesion Segm...

This paper presents an overview of the first HEad and neCK TumOR (HECKTOR) challenge, organized as a satellite event 23rd International Conference on Medical Image Computing Computer Assisted Intervention (MICCAI) 2020. The task challenge is automatic segmentation head neck primary Gross Tumor Volume in FDG-PET/CT images, focusing oropharynx region. data were collected from five centers for tot...

In information retrieval research; Genetic Algorithms (GA) can be used to find global solutions in many difficult problems. This study used different similarity measures (Dice, Inner Product) in the VSM, for each similarity measure we compared ten different GA approaches based on different fitness functions, different mutations and different crossover strategies to find the best strategy and fi...

We show that the Confusion Entropy, a measure of performance in multiclass problems has a strong (monotone) relation with the multiclass generalization of a classical metric, the Matthews Correlation Coefficient. Analytical results are provided for the limit cases of general no-information (n-face dice rolling) of the binary classification. Computational evidence supports the claim in the gener...

Over the past three decades, Information Retrieval (IR) has been studied extensively. The purpose of information retrieval is to assist users in locating information they are looking for. Information retrieval is currently being applied in a variety of application domains from database systems to web information search engines. The main idea of it is to locate documents that contain terms the u...

Dice similarity coefficients (DSC) of single best matching (SBM) and multiple best matching (MBM) prostate bed automated atlas-based segmentation (AABS) contours were compared to an expert panel gold standard. DSC scores improved with MBM in bladder (0.73-0.82) and penile bulb (0.40-0.54), with no improvement in other organs. Categories: Radiation Oncology, Urology, Oncology

We propose a novel method for automatic ROI extraction. The is implemented and tested isolating the inner ear in full head CT scans. Extracting with high precision this case critical surgical insertion of cochlear implants. Different parameters, such as equipment, image quality, anatomical variation, subject’s orientation during scanning make robust extraction challenging. to use state-of-the-a...

(1) Background: This study aims to develop a deep learning model based on 3D Deeplab V3+ network automatically segment multiple structures from magnetic resonance (MR) images at the L4/5 level. (2) Methods: After data preprocessing, modified of was used for automatic segmentation MR We performed five-fold cross-validation evaluate performance model. Subsequently, Dice Similarity Coefficient (DS...

The automatic extraction of statistically relevant expressions of any language from raw (non-annotated) corpora is a very useful task, specially when it may be used for the study of data from old texts, given the unavailability of informants, the large amount of graphic variants found in that kind of texts and the scarcity of annotated texts. Furthermore, statistically based extraction of compl...

Abstract. In this paper, we propose three similarity measure methods for single valued neutrosophic refined sets and interval neutrosophic refined sets based on Jaccard, Dice and Cosine similarity measures of single valued neutrosophic sets and interval neutrosophic sets. Furthermore, we suggest two multi-criteria decision making method under single valued neutrosophic refined environment and i...