Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.
Sign Up to like & getrecommendations! Published in 2021 at "JAMA dermatology"
DOI: 10.1001/jamadermatol.2021.3129
Abstract: Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical care, but fair, generalizable algorithms depend on the clinical data on which they are trained and tested. Objective To assess whether data sets… read more here.
Keywords: data sets; scoping review; dermatology; artificial intelligence ... See more keywords
Risks of Multiple Skin Cancers in Organ Transplant Recipients: A Cohort Study in 2 Administrative Data Sets.
Sign Up to like & getrecommendations! Published in 2021 at "JAMA dermatology"
DOI: 10.1001/jamadermatol.2021.4148
Abstract: Importance There are limited reports on the risks of multiple primary skin cancers in organ transplant recipients (OTRs). Objective To determine the risks over time and risk factors for OTRs developing (1) any skin cancer… read more here.
Keywords: data sets; risk; skin cancers; skin ... See more keywords
Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration
Sign Up to like & getrecommendations! Published in 2019 at "JAMA Ophthalmology"
DOI: 10.1001/jamaophthalmol.2018.6156
Abstract: Importance Deep learning (DL) used for discriminative tasks in ophthalmology, such as diagnosing diabetic retinopathy or age-related macular degeneration (AMD), requires large image data sets graded by human experts to train deep convolutional neural networks… read more here.
Keywords: data sets; real synthetic; retinal specialists; synthetic images ... See more keywords
Assessing future vent opening locations at the Somma-Vesuvio volcanic complex: 1. A new information geodatabase with uncertainty characterizations
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016jb013858
Abstract: This study presents new and revised data sets about the spatial distribution of past volcanic vents, eruptive fissures, and regional/local structures of the Somma-Vesuvio volcanic system (Italy). The innovative features of the study are the… read more here.
Keywords: data sets; uncertainty; vent opening; vesuvio volcanic ... See more keywords
Identifying autogenic sedimentation in fluvial-deltaic stratigraphy: Evaluating the effect of outcrop-quality data on the compensation statistic: Identifying Autogenic Sedimentation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016jf004067
Abstract: Stratigraphy preserves an extensive record of Earth-surface dynamics acting over a range of scales in a variety of environments. To take advantage of this record, we first must distinguish depositional patterns that arise due to… read more here.
Keywords: data sets; autogenic sedimentation; compensation statistic; stratigraphy ... See more keywords
An efficient magnetic resonance image data quality screening dashboard.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13557
Abstract: PURPOSE Complex data processing and curation for artificial intelligence applications rely on high-quality data sets for training and analysis. Manually reviewing images and their associated annotations is a very laborious task and existing quality control… read more here.
Keywords: review; image; data sets; magnetic resonance ... See more keywords
Organellomic data sets confirm a cryptic consensus on (unrooted) land-plant relationships and provide new insights into bryophyte molecular evolution.
Sign Up to like & getrecommendations! Published in 2019 at "American journal of botany"
DOI: 10.1002/ajb2.1397
Abstract: PREMISE Phylogenetic trees of bryophytes provide important evolutionary context for land plants. However, published inferences of overall embryophyte relationships vary considerably. We performed phylogenomic analyses of bryophytes and relatives using both mitochondrial and plastid gene sets,… read more here.
Keywords: data sets; evolution; land; land plant ... See more keywords
A call to action: Why sarcoma surgery needs to be centralized
Sign Up to like & getrecommendations! Published in 2018 at "Cancer"
DOI: 10.1002/cncr.31749
Abstract: In this issue, Keung et al present the results of their study using the National Cancer Data Base (NCDB) to compare the outcomes for patients undergoing surgery for primary retroperitoneal sarcoma (RPS) at low-volume hospitals… read more here.
Keywords: sarcoma; data sets; surgery; volume ... See more keywords
Deep‐learning FRET visualization in flow cytometry: At the cross road of the signaling and FRET pathways
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DOI: 10.1002/cyto.a.24711
Abstract: Present day flow cytometers and microscopes enable combined signal detection as a function of many parameters such as the color and polarization of the exciting and emitted light, and the spatial position and orientation of… read more here.
Keywords: cytometry; fret visualization; learning fret; flow ... See more keywords
Big Data: The good, the bad and the ugly
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Cancer"
DOI: 10.1002/ijc.33466
Abstract: Although we are reflecting about machine ethics, learn how to live with machines and realize how easy it is to fool deep neural networks, we better do not forget about the more mundane problems associated… read more here.
Keywords: seq; data sets; quality; big data ... See more keywords
Bin similarity‐based domain adaptation for fine‐grained image classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22775
Abstract: Fine‐grained classification tasks are challenging because fine‐grained data sets are quite scarce. Thus, we utilized the domain adaptation method to migrate knowledge from large, labeled data sets to fine‐grained target data sets. We employed the… read more here.
Keywords: domain adaptation; classification; domain; fine grained ... See more keywords