Automated coronary artery calcification scoring in non-gated chest CT: Agreement and reliability [PDF]
Objective: To determine the agreement and reliability of fully automated coronary artery calcium (CAC) scoring in a lung cancer screening population. Materials and Methods: 1793 low-dose chest CT scans were analyzed (non-contrast-enhanced, non-gated). To
Isgum, I. (Ivana) +7 more
core +1 more source
Signal Amplification of FISH for Automated Detection Using Image Cytometry
The purpose of this study was to improve the detection of FISH signals, in order that spot counting by a fully automated image cytometer be comparable to that obtained visually under the microscope.
Khuong Truong +6 more
doaj +1 more source
MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks
Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use. In
Masato Yamabe +5 more
doaj +1 more source
Mixed Methods: Using a Combination of Techniques to Assess Writing Ability [PDF]
A productive ability such as writing can be assessed only through a candidate‘s performance on a task, giving rise to concerns about the reliability and validity of writing assessments.
Feenstra, Hiske
core +3 more sources
BackgroundThe quantitative measures used to assess the performance of automated methods often do not reflect the clinical acceptability of contouring. A quality-based assessment of automated cardiac magnetic resonance (CMR) segmentation more relevant to ...
Elisa Rauseo +29 more
doaj +1 more source
Cryo-EM map interpretation and protein model-building using iterative map segmentation. [PDF]
A procedure for building protein chains into maps produced by single-particle electron cryo-microscopy (cryo-EM) is described. The procedure is similar to the way an experienced structural biologist might analyze a map, focusing first on secondary ...
Afonine PV +9 more
core +2 more sources
Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm
Background and Objectives: Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task.
Jae Hoon Cho +5 more
doaj +1 more source
Evaluating the impact of scoring parameters on the structure of intra-specific genetic variation using RawGeno, an R package for automating AFLP scoring. [PDF]
Background: Since the transfer and application of modern sequencing technologies to the analysis of amplified fragment-length polymorphisms (AFLP), evolutionary biologists have included an increasing number of samples and markers in their studies ...
Nils Arrigo +4 more
core +2 more sources
Automated Essay Scoring: A Literature Review
In recent decades, large-scale English language proficiency testing and testing research have seen an increased interest in constructed-response essay-writing items (Aschbacher, 1991; Powers, Burstein, Chodorow, Fowles, & Kukich, 2001; Weigle, 2002). The
Ian Blood
doaj +1 more source
Automated Cow Body Condition Scoring Using Multiple 3D Cameras and Convolutional Neural Networks
Body condition scoring is an objective scoring method used to evaluate the health of a cow by determining the amount of subcutaneous fat in a cow. Automated body condition scoring is becoming vital to large commercial dairy farms as it helps farmers ...
Gary I. Summerfield +3 more
doaj +1 more source

