Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-06866-x
Abstract: Objective To investigate the value of radiomics analysis of dual-energy computed tomography (DECT)–derived iodine maps for preoperative diagnosing cervical lymph nodes (LNs) metastasis in patients with papillary thyroid cancer (PTC). Methods Two hundred and fifty-five… read more here.
Keywords: validation; iodine maps; radiomics analysis; image features ... See more keywords
A method of classifying crumpled clothing based on image features derived from clothing fabrics and wrinkles
Sign Up to like & getrecommendations! Published in 2017 at "Autonomous Robots"
DOI: 10.1007/s10514-016-9559-z
Abstract: This paper describes a method of clothing classification using a single image. The method is intended to be used for building autonomous systems, that can recognize casually thrown ordinary clothing. A set of Gabor filters… read more here.
Keywords: image; method classifying; clothing fabrics; fabrics wrinkles ... See more keywords
Dynamically occluded samples via adversarial learning for person re-identification in sensor networks
Sign Up to like & getrecommendations! Published in 2021 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102316
Abstract: Abstract In this paper, we propose a novel data augmentation method to dynamically learn occluded samples via adversarial learning for person re-identification (re-ID) in sensor networks. Specifically, we design two CNN models to learn original-image… read more here.
Keywords: image features; occluded samples; samples via; image ... See more keywords
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106043
Abstract: BACKGROUND AND OBJECTIVE [18f]-fluorodeoxyglucose (fdg) positron emission tomography - computed tomography (pet-ct) is now the preferred imaging modality for staging many cancers. Pet images characterize tumoral glucose metabolism while ct depicts the complementary anatomical localization… read more here.
Keywords: fusion; image features; multi modality; segmentation ... See more keywords
Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of pediatric urology"
DOI: 10.1016/j.jpurol.2018.10.020
Abstract: INTRODUCTION Anatomic characteristics of kidneys derived from ultrasound images are potential biomarkers of children with congenital abnormalities of the kidney and urinary tract (CAKUT), but current methods are limited by the lack of automated processes… read more here.
Keywords: transfer learning; diagnosis; ultrasound images; transfer ... See more keywords
In search of floating algae and other organisms in global oceans and lakes
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111659
Abstract: Abstract Surface floating macroalgae, microalgae, and other marine and freshwater organisms have been reported in many specific regions around the globe. However, it is technically challenging to identify similar occurrences, or other types of floating… read more here.
Keywords: global oceans; oceanography; algae organisms; image features ... See more keywords
The image features of emotional faces that predict the initial eye movement to a face
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-87881-w
Abstract: Emotional facial expressions are important visual communication signals that indicate a sender’s intent and emotional state to an observer. As such, it is not surprising that reactions to different expressions are thought to be automatic… read more here.
Keywords: eye movement; image features; face; initial eye ... See more keywords
Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours.
Sign Up to like & getrecommendations! Published in 2017 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/62/1/272
Abstract: Atlas-based segmentation utilizes a library of previously delineated contours of similar cases to facilitate automatic segmentation. The problem, however, remains challenging because of limited information carried by the contours in the library. In this studying,… read more here.
Keywords: atlas based; treatment planning; segmentation; narrow shell ... See more keywords
Significance of the impact of motion compensation on the variability of PET image features.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aab180
Abstract: In lung cancer, quantification by positron emission tomography/computed tomography (PET/CT) imaging presents challenges due to respiratory movement. Our primary aim was to study the impact of motion compensation implied by retrospectively gated (4D)-PET/CT on the… read more here.
Keywords: image; voxel size; variability; image features ... See more keywords
Magnetic resonance perfusion image features uncover an angiogenic subgroup of glioblastoma patients with poor survival and better response to antiangiogenic treatment
Sign Up to like & getrecommendations! Published in 2017 at "Neuro-Oncology"
DOI: 10.1093/neuonc/now270
Abstract: Background In previous clinical trials, antiangiogenic therapies such as bevacizumab did not show efficacy in patients with newly diagnosed glioblastoma (GBM). This may be a result of the heterogeneity of GBM, which has a variety… read more here.
Keywords: antiangiogenic therapy; image; glioblastoma; perfusion ... See more keywords
Matching Intensity for Image Visibility Graphs: A New Method to Extract Image Features
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3050747
Abstract: Recently, the image visibility graphs (IVG) had introduced as simple algorithms by which images map into complex networks. However, current methods based on IVG use global statistical behaviors of the resulting graph to extract image… read more here.
Keywords: image features; extract image; matching intensity; image visibility ... See more keywords