標題: Titlebook: Computer Analysis of Images and Patterns; CAIP 2019 Internatio Mario Vento,Gennaro Percannella,Manzoor Razaak Conference proceedings 2019 S [打印本頁] 作者: Clinton 時間: 2025-3-21 19:26
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)學科排名
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度學科排名
書目名稱Computer Analysis of Images and Patterns被引頻次
書目名稱Computer Analysis of Images and Patterns被引頻次學科排名
書目名稱Computer Analysis of Images and Patterns年度引用
書目名稱Computer Analysis of Images and Patterns年度引用學科排名
書目名稱Computer Analysis of Images and Patterns讀者反饋
書目名稱Computer Analysis of Images and Patterns讀者反饋學科排名
作者: 剛開始 時間: 2025-3-21 21:55 作者: 領(lǐng)巾 時間: 2025-3-22 03:27
Liat Margolis,Alexander Robinson method for estimating the crop and weed distribution from images captured by a UAV. The proposed approach runs on an embedded board equipped with a GPU. Quantitative experimental results have been obtained using real images from two different public datasets. The results demonstrate the effectiveness of the proposed approach.作者: badinage 時間: 2025-3-22 05:40 作者: Deceit 時間: 2025-3-22 09:41 作者: Crumple 時間: 2025-3-22 13:49
https://doi.org/10.1007/3-540-37671-2c retinopathy. This segmentation is necessary to evaluate the state of the vascular network and to detect abnormalities (aneurysms, hemorrhages, etc). Many image processing and machine learning methods have been developed in recent years in order to achieve this segmentation. These methods are diffi作者: Crumple 時間: 2025-3-22 17:09 作者: 使堅硬 時間: 2025-3-23 01:02
,Modèles micro-macro pour les fluides,uld perform. Breast density is one of the most important breast cancer risk factor and it represents the amount of fibroglandular tissue with respect to fat tissue as seen on a mammographic exam. However, it is not easy to include it in risk models because of its variability among women and its qual作者: 排斥 時間: 2025-3-23 02:38 作者: Collar 時間: 2025-3-23 09:16
https://doi.org/10.1007/3-540-37671-2GSP) for the analysis of neuroimaging data. Thus, a GSP-based approach is proposed and validated for the classification of autism spectrum disorder (ASD). More specifically, the resting state functional magnetic resonance imaging (rs-fMRI) time series of each brain subject are characterized by sever作者: Suppository 時間: 2025-3-23 11:25 作者: Intend 時間: 2025-3-23 17:52 作者: PLUMP 時間: 2025-3-23 18:19
Liat Margolis,Alexander Robinsonf deep learning (DL) models, with a focus on aerial photos produced by unmanned aerial vehicles (UAV). The general concept and methodology are described, and preliminary results are presented, based on a classification problem of fire identification in forests as well as a counting problem of estima作者: Insul島 時間: 2025-3-24 00:28
Liat Margolis,Alexander Robinsoneople (VIP). Technology may enable them to find new ways of travelling around smart cities, thus improving their quality of life (QoL). Currently, there are approximately 110 million VIP worldwide, and continuous research is crucial to find innovative solutions to their mobility problems. Recent adv作者: insert 時間: 2025-3-24 06:26
Liat Margolis,Alexander Robinson method for estimating the crop and weed distribution from images captured by a UAV. The proposed approach runs on an embedded board equipped with a GPU. Quantitative experimental results have been obtained using real images from two different public datasets. The results demonstrate the effectivene作者: cauda-equina 時間: 2025-3-24 06:30 作者: 飛來飛去真休 時間: 2025-3-24 11:41
Liat Margolis,Alexander Robinson communication employing onboard computer vision to recognize the operator’s gestures and providing visible feedback to him. This work presents use cases and summarizes the achievements made so far at the Institute of Flight Systems with respect to functional concepts, system architectures, sensor t作者: 牛的細微差別 時間: 2025-3-24 18:04 作者: infarct 時間: 2025-3-24 21:30
1865-0929 d Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019.. The 12 papers presented in this volume were careful作者: Ligneous 時間: 2025-3-25 01:31 作者: Feedback 時間: 2025-3-25 05:45 作者: Introvert 時間: 2025-3-25 10:19
May Radiomic Data Predict Prostate Cancer Aggressiveness?xtracted from multi-parametric magnetic resonance imaging (mp-MRI)of prostate cancer (PCa) and the tumor histologic subtypes (using Gleason Score) using machine learning algorithms, in order to identify which of the mp-MRI derived radiomic features can distinguish high and low risk PCa.作者: Endemic 時間: 2025-3-25 13:43 作者: Exuberance 時間: 2025-3-25 17:46 作者: troponins 時間: 2025-3-25 23:50 作者: Default 時間: 2025-3-26 01:38
Conference proceedings 2019shop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019.. The 12 papers presented in this volume were carefully reviewed and selected from 16 submissions and focus on all aspects of visual computing and machine learning for biomedical applications, and deep-learning based computer vision for UAV..作者: Emasculate 時間: 2025-3-26 06:59
,Modèles micro-macro pour les fluides,xtracted from multi-parametric magnetic resonance imaging (mp-MRI)of prostate cancer (PCa) and the tumor histologic subtypes (using Gleason Score) using machine learning algorithms, in order to identify which of the mp-MRI derived radiomic features can distinguish high and low risk PCa.作者: 使入迷 時間: 2025-3-26 12:04
Liat Margolis,Alexander Robinsonting number of houses in urban areas. The proposed technique constitutes a new possibility for the DL community, especially related to UAV-based imagery analysis, with much potential, promising results, and unexplored ground for further research.作者: floodgate 時間: 2025-3-26 13:27
https://doi.org/10.1007/3-540-37671-2e. Based on this method, we test and present several improvements which are evaluated using a dedicated performance evaluation protocol. This protocol uses five criteria and three different evaluations in order to assess the robustness of the methods’ performances.作者: antidepressant 時間: 2025-3-26 20:00
,Modèles micro-macro pour les solides,stology images have been tested in order to improve the performance of the gland instance segmentation. Based on the reported experimental results, the hybrid approach, which combines two-level classification, achieved overall the best results among the tested methods.作者: 歌曲 時間: 2025-3-26 23:33 作者: 侵略 時間: 2025-3-27 03:15 作者: 亞麻制品 時間: 2025-3-27 08:54 作者: objection 時間: 2025-3-27 10:45 作者: 新娘 時間: 2025-3-27 16:03 作者: mastopexy 時間: 2025-3-27 20:23 作者: PIZZA 時間: 2025-3-28 00:10 作者: FOLLY 時間: 2025-3-28 04:53
Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulattric analysis data will be integrated with the objective of increase predictive value. This approach could have a large impact for precision medicine, as radiomic biomarkers are non-invasive and can be applied to imaging data that are already acquired in clinical settings.作者: 合唱隊 時間: 2025-3-28 07:56 作者: 保留 時間: 2025-3-28 10:56 作者: acrimony 時間: 2025-3-28 15:40
,Modèles micro-macro pour les fluides,o improve the robustness of our algorithm with respect to the mammographic systems used and we want to include pathological exams too. Then we want to study and characterize the CNN-extracted features in order to identify the most significant for breast density. Finally, we want to study how to quan作者: extrovert 時間: 2025-3-28 21:28
,Modèles micro-macro pour les fluides,NNS trained on ROIs centered on the same lesions, but progressively larger. In this way, shallower networks become specialized in learning local image features, whereas deeper ones are well suited to learn patterns of the contextual background tissues. Once trained, the detectors are combined togeth作者: 小口啜飲 時間: 2025-3-28 23:14 作者: 斗爭 時間: 2025-3-29 04:58 作者: Pessary 時間: 2025-3-29 08:54
Retinal Blood Vessels Segmentation: Improving State-of-the-Art Deep Methodsc retinopathy. This segmentation is necessary to evaluate the state of the vascular network and to detect abnormalities (aneurysms, hemorrhages, etc). Many image processing and machine learning methods have been developed in recent years in order to achieve this segmentation. These methods are diffi作者: 托運 時間: 2025-3-29 13:19 作者: anarchist 時間: 2025-3-29 16:00 作者: ALERT 時間: 2025-3-29 22:31
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in?Mammogramst-cancer related deaths is to use mammography as a screening strategy. In this framework, cluster of microcalcifications can be an important indicator of breast cancer. To help radiologists in their diagnostic operations, Computer Aided Detection systems have been proposed, which are based Deep Lear作者: Project 時間: 2025-3-30 01:55
