2 |
{C}as{EE}: {A} Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Play responsibly? Perceptions of Warning Messages on Lottery Tickets
|
|
|
|
In: International Conference on Gambling & Risk Taking (2019)
|
|
BASE
|
|
Show details
|
|
7 |
L-NAME releases nitric oxide and potentiates subsequent nitroglycerin-mediated vasodilation
|
|
|
|
BASE
|
|
Show details
|
|
8 |
A study of deep learning methods for de-identification of clinical notes in cross-institute settings
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Representation of Deep Features using Radiologist defined Semantic Features
|
|
|
|
Abstract:
Semantic features are common radiological traits used to characterize a lesion by a trained radiologist. These features have been recently formulated, quantified on a point scale in the context of lung nodules by our group. Certain radiological semantic traits have been shown to extremely predictive of malignancy [26]. Semantic traits observed by a radiologist at examination describe the nodules and the morphology of the lung nodule shape, size, border, attachment to vessel or pleural wall, location and texture etc. Deep features are numeric descriptors often obtained from a convolutional neural network (CNN) which are widely used for classification and recognition. Deep features may contain information about texture and shape, primarily. Lately, with the advancement of deep learning, convolutional neural networks (CNN) are also being used to analyze lung nodules. In this study, we relate deep features to semantic features by looking for similarity in ability to classify. Deep features were obtained using a transfer learning approach from both an ImageNet pre-trained CNN and our trained CNN architecture. We found that some of the semantic features can be represented by one or more deep features. In this process, we can infer that some deep feature(s) have similar discriminatory ability as semantic features.
|
|
Keyword:
Article
|
|
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233304/
|
|
BASE
|
|
Hide details
|
|
10 |
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer
|
|
|
|
BASE
|
|
Show details
|
|
12 |
A Novel DFNA36 Mutation in TMC1 Orthologous to the Beethoven (Bth) Mouse Associated with Autosomal Dominant Hearing Loss in a Chinese Family
|
|
|
|
BASE
|
|
Show details
|
|
13 |
New Early Eocene Basal tapiromorph from Southern China and Its Phylogenetic Implications
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Grey and white matter changes in children with monocular amblyopia: voxel-based morphometry and diffusion tensor imaging study
|
|
|
|
BASE
|
|
Show details
|
|
16 |
L2 Writing Development and Tertiary Grade Level
|
|
|
|
In: http://hrmars.com/hrmars_papers/L2_Writing_Development_and_Tertiary_Grade_Level.pdf
|
|
BASE
|
|
Show details
|
|
17 |
The Holistic Effects of Acupuncture Treatment
|
|
|
|
In: http://downloads.hindawi.com/journals/ecam/2014/739708.pdf
|
|
BASE
|
|
Show details
|
|
|
|