Daryna Dementieva,Mikhail Kuimov,Alexander Panchenko
Daryna Dementieva
The rapid spread of deceptive information on the internet can have severe and irreparable consequences. As a result, it is important to develop technology that can detect fake news. Although significant progress has been made in this area, ...
Gilda Manfredi,Gabriele Gilio,Vincenzo Baldi et al.
Gilda Manfredi et al.
In recent years, extended reality has increasingly been used to enhance the shopping experience for customers. In particular, some virtual dressing room applications have begun to develop, as they allow customers to try on digital clothes a...
Vasari Scoring System in Discerning between Different Degrees of Glioma and IDH Status Prediction: A Possible Machine Learning Application? [0.03%]
瓦萨里评分系统在鉴别不同等级的胶质瘤和IDH状态预测中的应用可能性：一种机器学习方法？
Laura Gemini,Mario Tortora,Pasqualina Giordano et al.
Laura Gemini et al.
(1) The aim of our study is to evaluate the capacity of the Visually AcceSAble Rembrandt Images (VASARI) scoring system in discerning between the different degrees of glioma and Isocitrate Dehydrogenase (IDH) status predictions, with a poss...
Efficient Approach to Color Image Segmentation Based on Multilevel Thresholding Using EMO Algorithm by Considering Spatial Contextual Information [0.03%]
基于EMO算法考虑空间上下文信息的多阈值彩色图像分割方法
Srikanth Rangu,Rajagopal Veramalla,Surender Reddy Salkuti et al.
Srikanth Rangu et al.
The process of image segmentation is partitioning an image into its constituent parts and is a significant approach for extracting interesting features from images. Over a couple of decades, many efficient image segmentation approaches have...
ARAM: A Technology Acceptance Model to Ascertain the Behavioural Intention to Use Augmented Reality [0.03%]
一种确定使用增强现实行为意向的技术接受模型（ARAM）
Anabela Marto,Alexandrino Gonçalves,Miguel Melo et al.
Anabela Marto et al.
The expansion of augmented reality across society, its availability in mobile platforms and the novelty character it embodies by appearing in a growing number of areas, have raised new questions related to people's predisposition to use thi...
Alexandra Papadaki,Maria Pateraki
Alexandra Papadaki
In this work, a visual object detection and localization workflow integrated into a robotic platform is presented for the 6D pose estimation of objects with challenging characteristics in terms of weak texture, surface properties and symmet...
CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons [0.03%]
化疗后睾丸癌盆腔淋巴结切除术的CT重建及影像组学分析以预测年轻外科医生可能遇到的问题
Anna Scavuzzo,Pavel Figueroa-Rodriguez,Alessandro Stefano et al.
Anna Scavuzzo et al.
Post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) in non-seminomatous germ-cell tumor (NSTGCTs) is a complex procedure. We evaluated whether 3D computed tomography (CT) rendering and their radiomic analysis help predict res...
Cecilia Di Ruberto,Andrea Loddo,Lorenzo Putzu
Cecilia Di Ruberto
Medical imaging is widely used for diagnosis and postoperative or post-therapy monitoring. The ever-increasing number of images produced has encouraged the introduction of automated methods to assist doctors or pathologists. In recent years...
Youssef Skandarani,Pierre-Marc Jodoin,Alain Lalande
Youssef Skandarani
Generative adversarial networks (GANs) have become increasingly powerful, generating mind-blowing photorealistic images that mimic the content of datasets they have been trained to replicate. One recurrent theme in medical imaging, is wheth...
Hyperparameter Optimization of a Convolutional Neural Network Model for Pipe Burst Location in Water Distribution Networks [0.03%]
用于供水管网输水管破裂位置的卷积神经网络模型的超参数优化
André Antunes,Bruno Ferreira,Nuno Marques et al.
André Antunes et al.
The current paper presents a hyper parameterization optimization process for a convolutional neural network (CNN) applied to pipe burst locations in water distribution networks (WDN). The hyper parameterization process of the CNN includes t...