A novel computer vision based neutrosophic approach for leaf disease identification and classification
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.12.027
Abstract: Abstract The natural products are inexpensive, non-toxic, and have fewer side effects. Thus, their demand especially herbs based medical products, health products, nutritional supplements, cosmetics etc. are increasing. The quality of leafs defines the degree… read more here.
Keywords: leaf disease; identification; disease; disease identification ... See more keywords
Identification and Characterization of Fusarium nirenbergiae Associated with Saffron Corm Rot Disease.
Sign Up to like & getrecommendations! Published in 2022 at "Plant disease"
DOI: 10.1094/pdis-04-21-0871-re
Abstract: Saffron (Crocus sativus L.) is the most expensive spice plant and is distributed widely around the world. However, its production is limited by corm rot, a disastrous disease, attributed to Fusarium oxysporum in many regions… read more here.
Keywords: corm; corm rot; saffron; disease identification ... See more keywords
Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1613-z
Abstract: Specialised pest and disease control in the agricultural crops industry have been a high-priority issue. Due to great cost-effectiveness and efficient automation, computer vision (CV)–based automatic pest or disease identification techniques are widely utilised in… read more here.
Keywords: residual networks; wide residual; deep learning; disease ... See more keywords
Automated sickle cell disease identification in human red blood cells using a lensless single random phase encoding biosensor and convolutional neural networks.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.469199
Abstract: We present a compact, field portable, lensless, single random phase encoding biosensor for automated classification between healthy and sickle cell disease human red blood cells. Microscope slides containing 3 µl wet mounts of whole blood… read more here.
Keywords: disease; single random; lensless single; disease identification ... See more keywords
Maize leaf disease identification based on WG-MARNet
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0267650
Abstract: In deep learning-based maize leaf disease detection, a maize disease identification method called Network based on wavelet threshold-guided bilateral filtering, multi-channel ResNet, and attenuation factor (WG-MARNet) is proposed. This method can solve the problems of… read more here.
Keywords: based marnet; maize leaf; disease; leaf disease ... See more keywords
A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Internet Research"
DOI: 10.2196/32867
Abstract: Background Web-based crowdfunding has become a popular method to raise money for medical expenses, and there is growing research interest in this topic. However, crowdfunding data are largely composed of unstructured text, thereby posing many… read more here.
Keywords: medical crowdfunding; disease; identification algorithm; disease identification ... See more keywords
Thalamus Radiomics-Based Disease Identification and Prediction of Early Treatment Response for Schizophrenia
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.682777
Abstract: Background Emerging evidence suggests structural and functional disruptions of the thalamus in schizophrenia, but whether thalamus abnormalities are able to be used for disease identification and prediction of early treatment response in schizophrenia remains to… read more here.
Keywords: schizophrenia; treatment response; treatment; disease identification ... See more keywords