Deep learning with lung segmentation and bone shadow exclusion techniques for chest X-ray analysis of lung cancer
Y Gordienko, P Gang, J Hui, W Zeng, Y Kochura… - Advances in Computer …, 2019 - Springer
The recent progress of computing, machine learning, and especially deep learning, for
image recognition brings a meaningful effect for automatic detection of various diseases …
image recognition brings a meaningful effect for automatic detection of various diseases …
Chest X-ray analysis of tuberculosis by deep learning with segmentation and augmentation
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable
predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of …
predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of …
Exact and consistent interpretation for piecewise linear neural networks: A closed form solution
Strong intelligent machines powered by deep neural networks are increasingly deployed as
black boxes to make decisions in risk-sensitive domains, such as finance and medical. To …
black boxes to make decisions in risk-sensitive domains, such as finance and medical. To …
Literature-based discovery approaches for evidence-based healthcare: a systematic review
S Cheerkoot-Jalim, KK Khedo - Health and Technology, 2021 - Springer
Abstract Purpose Literature-Based Discovery (LBD) is a text mining technique used to
generate novel hypotheses from vast amounts of literature sources, by identifying links …
generate novel hypotheses from vast amounts of literature sources, by identifying links …
A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …
produced. Revealing strong semantic connections hidden in those unstructured data is …
Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer
P Gang, W Zhen, W Zeng, Y Gordienko… - 2018 tenth …, 2018 - ieeexplore.ieee.org
The efficiency of some dimensionality reduction techniques, like lung segmentation, bone
shadow exclusion, and t-distributed stochastic neighbor embedding (t-SNE) for exclusion of …
shadow exclusion, and t-distributed stochastic neighbor embedding (t-SNE) for exclusion of …
Effect of data augmentation and lung mask segmentation for automated chest radiograph interpretation of some lung diseases
P Gang, W Zeng, Y Gordienko, Y Kochura… - … conference on neural …, 2019 - Springer
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable
predictions of some lung diseases by computer-aided diagnosis (CADx) based on the …
predictions of some lung diseases by computer-aided diagnosis (CADx) based on the …
[HTML][HTML] Semantic deep learning: Prior knowledge and a type of four-term embedding analogy to acquire treatments for well-known diseases
Background: How to treat a disease remains to be the most common type of clinical
question. Obtaining evidence-based answers from biomedical literature is difficult …
question. Obtaining evidence-based answers from biomedical literature is difficult …
Using word evolution to predict drug repurposing
J Preiss - BMC Medical Informatics and Decision Making, 2024 - Springer
Background Traditional literature based discovery is based on connecting knowledge pairs
extracted from separate publications via a common mid point to derive previously unseen …
extracted from separate publications via a common mid point to derive previously unseen …
Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining
Biomedical knowledge is growing in an astounding pace with a majority of this knowledge is
represented as scientific publications. Text mining tools and methods represents automatic …
represented as scientific publications. Text mining tools and methods represents automatic …