Matches in SemOpenAlex for { <https://semopenalex.org/work/W3148151719> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3148151719 abstract "We introduce a machine learning-based method for fully automated diagnosis of sickle cell disease of poor-quality unstained images of a mobile microscope. Our method is capable of distinguishing between diseased, trait (carrier), and normal samples unlike the previous methods that are limited to distinguishing the normal from the abnormal samples only. The novelty of this method comes from distinguishing the trait and the diseased samples from challenging images that have been captured directly in the field. The proposed approach contains two parts, the segmentation part followed by the classification part. We use a random forest algorithm to segment such challenging images acquitted through a mobile phone-based microscope. Then, we train two classifiers based on a random forest (RF) and a support vector machine (SVM) for classification. The results show superior performances of both of the classifiers not only for images which have been captured in the lab, but also for the ones which have been acquired in the field itself." @default.
- W3148151719 created "2021-04-13" @default.
- W3148151719 creator A5005229982 @default.
- W3148151719 creator A5017642893 @default.
- W3148151719 creator A5078229362 @default.
- W3148151719 date "2021-03-30" @default.
- W3148151719 modified "2023-09-26" @default.
- W3148151719 title "Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples." @default.
- W3148151719 cites W1535608456 @default.
- W3148151719 cites W2037346600 @default.
- W3148151719 cites W2055522016 @default.
- W3148151719 cites W2058224795 @default.
- W3148151719 cites W2064668694 @default.
- W3148151719 cites W2119821739 @default.
- W3148151719 cites W2126516766 @default.
- W3148151719 cites W2134180252 @default.
- W3148151719 cites W2216946510 @default.
- W3148151719 cites W2293629501 @default.
- W3148151719 cites W2563014845 @default.
- W3148151719 cites W70346993 @default.
- W3148151719 cites W80760317 @default.
- W3148151719 hasPublicationYear "2021" @default.
- W3148151719 type Work @default.
- W3148151719 sameAs 3148151719 @default.
- W3148151719 citedByCount "0" @default.
- W3148151719 crossrefType "posted-content" @default.
- W3148151719 hasAuthorship W3148151719A5005229982 @default.
- W3148151719 hasAuthorship W3148151719A5017642893 @default.
- W3148151719 hasAuthorship W3148151719A5078229362 @default.
- W3148151719 hasConcept C12267149 @default.
- W3148151719 hasConcept C153180895 @default.
- W3148151719 hasConcept C154945302 @default.
- W3148151719 hasConcept C169258074 @default.
- W3148151719 hasConcept C202444582 @default.
- W3148151719 hasConcept C31972630 @default.
- W3148151719 hasConcept C33923547 @default.
- W3148151719 hasConcept C41008148 @default.
- W3148151719 hasConcept C89600930 @default.
- W3148151719 hasConcept C9652623 @default.
- W3148151719 hasConceptScore W3148151719C12267149 @default.
- W3148151719 hasConceptScore W3148151719C153180895 @default.
- W3148151719 hasConceptScore W3148151719C154945302 @default.
- W3148151719 hasConceptScore W3148151719C169258074 @default.
- W3148151719 hasConceptScore W3148151719C202444582 @default.
- W3148151719 hasConceptScore W3148151719C31972630 @default.
- W3148151719 hasConceptScore W3148151719C33923547 @default.
- W3148151719 hasConceptScore W3148151719C41008148 @default.
- W3148151719 hasConceptScore W3148151719C89600930 @default.
- W3148151719 hasConceptScore W3148151719C9652623 @default.
- W3148151719 hasLocation W31481517191 @default.
- W3148151719 hasOpenAccess W3148151719 @default.
- W3148151719 hasPrimaryLocation W31481517191 @default.
- W3148151719 hasRelatedWork W1540081108 @default.
- W3148151719 hasRelatedWork W185605812 @default.
- W3148151719 hasRelatedWork W1921594208 @default.
- W3148151719 hasRelatedWork W2259868802 @default.
- W3148151719 hasRelatedWork W2522410688 @default.
- W3148151719 hasRelatedWork W2728100876 @default.
- W3148151719 hasRelatedWork W2753556039 @default.
- W3148151719 hasRelatedWork W2892046320 @default.
- W3148151719 hasRelatedWork W2952662544 @default.
- W3148151719 hasRelatedWork W2969401422 @default.
- W3148151719 hasRelatedWork W2984087761 @default.
- W3148151719 hasRelatedWork W3014601887 @default.
- W3148151719 hasRelatedWork W3020147421 @default.
- W3148151719 hasRelatedWork W3044010495 @default.
- W3148151719 hasRelatedWork W3092633470 @default.
- W3148151719 hasRelatedWork W3175207588 @default.
- W3148151719 hasRelatedWork W3203130383 @default.
- W3148151719 hasRelatedWork W1543976151 @default.
- W3148151719 hasRelatedWork W2186697850 @default.
- W3148151719 isParatext "false" @default.
- W3148151719 isRetracted "false" @default.
- W3148151719 magId "3148151719" @default.
- W3148151719 workType "article" @default.