Search Results for "leaf disease detection"
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Showing 22 open source projects for "leaf disease detection"
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Copy5 is the first platform built to emulate how people actually work, bringing all the benefits of physically working in the same room into the digital space. Customize your daily workspace to prioritize activities, update tasks or collaborate with others.
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RedFlag is an easy to use multi-channel emergency mass notification system allowing you to deliver real time alerts and critical information to groups of any size. Our industry leading emergency mass notification system can be used by small businesses up to enterprise corporations to gain visibility into events happening in the field, efficiently coordinate resources, and make smart data-based decisions when emergency events occur.
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HealthFusion
AI Disease Detections System
HealthFusion has identified a critical business problem, which is the lack of accessibility and timely detection of multiple diseases. The traditional approach of detecting diseases is time-consuming, expensive, and not accessible to everyone, especially in remote areas. This problem can lead to delayed diagnosis and treatment, which can have serious consequences for patients. The proposed solution, HealthFusion, is novel and practical as it offers a comprehensive solution to detect multiple... -
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W2MHS-DNN
Open Source White Matter Hyperintensities Segmentation Toolbox
Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox... -
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Nuvarator
A SNV Detection Software Tools Installer Package
A software package Nuvarator which downloads and installs different tools related to Somatic SNV detection. SNV detection is range of computational tech- niques and algorithms used to identify the existence of single nu- cleotide variants (SNVs) by using the result from Next Generation Sequencing (NGS) experiments. NGS are methods employed for Whole Genome Sequencing, a process for determining the precise order of nucleotides within a DNA molecule which can improve the knowledge available... -
PayHOA is modern software for self-managed communities. Trusted by more than 11,000 associations, PayHOA automates operations, so you can focus on what's important. We provide free onboarding, free unlimited support, a 30-day free trial, and no contracts. Claim your free trial and see why HOAs across the country are choosing PayHOA.
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ISVASE
identification of sequence variant associated with splicing event
To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently by RNA splicing mechanism. It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data. Comparing... -
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MetaOpen
Metabolomics Bioinformatics Tools
...-mass spectrometry (LC-MS), and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS). Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility. -
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Plant Leaf Detection
Automated counting and labelling of rosette plant leaves
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ExAM-Exome_Analysis_And_Mining
A whole exome sequencing analysis package and its graphical interface
During the past few years, whole exome sequencing has imposed itself for genetic research, largely due to its use for detection of causative mutations responsible for Mendelian disorders. As a consequence of their power and of the rapidly decreasing cost of these technologies, massive amount of exome sequencing data are generated and becoming available to a broadening community of scientists. However, these data remain difficult to analyze and interpret by the general scientific community, due... -
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Featureextraction
Feature Extraction: Fractal, Statistical, Geostatistical, Succolarity
The objective of this project is to find in the literature the best feature extractors related to the detection and diagnosis of disease in the breast, and implement them in order to make it open to research groups worldwide. The features will be available as an API (Application Programming Interface) in Java. -
Launch a fully functioning trial of Variphy in as little as 20 minutes.
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Virmid
Virtual Microdissection for SNP calling
NEWS: 11-07-2013 A new version Virmid 1.1.0 has been uploaded. 08-29-2013 Virmid paper is now published in Genome Biology. Kim S et al, "Virmid: accurate detection of somatic mutations with sample impurity inference", Genome Biology 2013, 14:R90 http://genomebiology.com/2013/14/8/R90/abstract Virmid (Virtual Microdissection for SNP calling) is a Java based variant caller designed for disease-control matched samples. Virmid is also specialized for identifying potential within individual... -
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SEM_bestShortestPath
A SEM-based method for disease module detection
SEM_bestShortestPath is a Structural Equation Modeling (SEM)-based methodology to evaluate the most important shortest paths between differentially expressed genes in biological interaction networks, with absolutely no need of user-defined parameters or heuristic rules, enabling a free-of-bias discovery and overcoming common issues affecting recent network-based algorithms. SEM-bsp is based on Structural Equation Modeling techniques to detect significantly perturbed sub-networks (disease... -
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SEM_bestShortestPath
A SEM-based method for disease module detection
SEM_bestShortestPath is a Structural Equation Modeling (SEM)-based methodology to evaluate the most important shortest paths between differentially expressed genes in biological interaction networks, with absolutely no need of user-defined parameters or heuristic rules, enabling a free-of-bias discovery and overcoming common issues affecting recent network-based algorithms. SEM-bsp is based on Structural Equation Modeling techniques to detect significantly perturbed sub-networks (disease... -
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HomSI
Homozygous Stretch Identifier from next-generation sequencing data
... the homozygous regions and then search for the disease gene by sequencing the genes within this candidate disease loci. Recently, the advent of next generation sequencing enables the concurrent identification of homozygous regions and the detection of mutations relevant for diagnosis, using data from a single sequencing experiment. In this respect, we have developed a novel tool that identifies homozygous regions using deep sequence data. Using *.vcf files as an input file, our program identifies the majo -
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VarImpact
Extracting effects of mutations on molecular properties from text.
... ranging from alteration of active sites to changes in drug response resulting. Our aim is to bridge the gap between detection of genetic variants and their annotation with aforementioned observations. VarImpact extracts experimentally observed changes from the literature. This allows to annotate sequencing results with observed impacts, gather information about the mutational landscape observed in disease populations, and to study disease mechanisms. Check our Wiki for more! -
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PathNER
A tool for systematic identification of biological pathway mentions
PathNER is a tool for the identification of specific pathway mentions from biomedical literature. PathNER is built upon the GATE embedded framework.It's based on soft dictionary matching and rules-based detection. The dictionary is generated from ConsensusPathDB and Pathway Ontology and the rules are implemented in JAPE. Using PathNER, you can identify all occurrences of informative pathway names (e.g. 'the Wnt pathway'). PathNER can be used to assist studies that aim at uncovering associations... -
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WM Hyperintensities Segmentation Toolbox
Open Source White Matter Hyperintensities Segmentation Toolbox
Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox... -
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RODS (Real-time Outbreak and Disease Surveillance) is a real-time computer-based public health surveillance system initially developed at the RODS Laboratory, University of Pittsburgh for the early detection of disease outbreaks .
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PathMEN
A Java tool for mining pathway mentions from literature
PathNER is a tool for the identification of specific pathway mentions from biomedical literature. PathNER is built upon the GATE embedded framework.It's based on soft dictionary matching and rules-based detection. The dictionary is generated from ConsensusPathDB and Pathway Ontology and the rules are implemented in JAPE. Using PathNER, you can identify all occurrences of informative pathway names (e.g. 'the Wnt pathway'). PathNER can be used to assist studies that aim at uncovering associations... -
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MetCore
Metabolomics Bioinformatics Tools
...-mass spectrometry (LC-MS), and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS). Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility. -
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BayesianCortex
simple algorithm for a realtime interactive visual cortex for painting
... be used to create any logical system. In this early version, I'm still working on edge detection and its understanding of the same shapes at different brightnesses. This will be a module of the bigger Human AI Net project and will be used for adding realtime intuitive high dimensional intelligence in audio and visual interactions with the user. -
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Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
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Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
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