Deep learning for hyperspectral image classification: An overview
Hyperspectral image (HSI) classification has become a hot topic in the field of remote
sensing. In general, the complex characteristics of hyperspectral data make the accurate …
sensing. In general, the complex characteristics of hyperspectral data make the accurate …
Pixel-level image fusion: A survey of the state of the art
Pixel-level image fusion is designed to combine multiple input images into a fused image,
which is expected to be more informative for human or machine perception as compared to …
which is expected to be more informative for human or machine perception as compared to …
Oxidation-specific epitopes are danger-associated molecular patterns recognized by pattern recognition receptors of innate immunity
Oxidation reactions are vital parts of metabolism and signal transduction. However, they also
produce reactive oxygen species, which damage lipids, proteins and DNA, generating …
produce reactive oxygen species, which damage lipids, proteins and DNA, generating …
Pytorch: An imperative style, high-performance deep learning library
Deep learning frameworks have often focused on either usability or speed, but not both.
PyTorch is a machine learning library that shows that these two goals are in fact compatible …
PyTorch is a machine learning library that shows that these two goals are in fact compatible …
[HTML][HTML] Trastuzumab emtansine for HER2-positive advanced breast cancer
…, DY Oh, V Diéras, E Guardino, L Fang… - New England journal …, 2012 - Mass Medical Soc
Background Trastuzumab emtansine (T-DM1) is an antibody–drug conjugate incorporating
the human epidermal growth factor receptor 2 (HER2)–targeted antitumor properties of …
the human epidermal growth factor receptor 2 (HER2)–targeted antitumor properties of …
WEGO: a web tool for plotting GO annotations
Unified, structured vocabularies and classifications freely provided by the Gene Ontology
(GO) Consortium are widely accepted in most of the large scale gene annotation projects …
(GO) Consortium are widely accepted in most of the large scale gene annotation projects …
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
…, R Everson, J Fabrizio, Y Fan, L Fang… - arXiv preprint arXiv …, 2018 - arxiv.org
Gliomas are the most common primary brain malignancies, with different degrees of
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie …
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie …
HMDB: a knowledgebase for the human metabolome
…, S Shrivastava, P Huang, P Liu, L Fang… - Nucleic acids …, 2009 - academic.oup.com
Abstract The Human Metabolome Database (HMDB, http://www. hmdb. ca) is a richly
annotated resource that is designed to address the broad needs of biochemists, clinical …
annotated resource that is designed to address the broad needs of biochemists, clinical …
The genome of the cucumber, Cucumis sativus L.
Cucumber is an economically important crop as well as a model system for sex
determination studies and plant vascular biology. Here we report the draft genome …
determination studies and plant vascular biology. Here we report the draft genome …
[HTML][HTML] The Genomes of Oryza sativa: A History of Duplications
We report improved whole-genome shotgun sequences for the genomes of indica and
japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over …
japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over …