Matches in SemOpenAlex for { <https://semopenalex.org/work/W4250995073> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4250995073 endingPage "456" @default.
- W4250995073 startingPage "435" @default.
- W4250995073 abstract "Microscopic image analysis plays a foremost role for understanding biological processes, diagnosis of diseases and cells/ tissues identification. Microscopic image classification is one of the challenging tasks that have a leading role in the medical domain. In this chapter, an overview on different classification techniques elaborated with microscopic images is presented to guide the reader through the advanced knowledge of major quantitative image classification approaches. Applied examples are conducted to classify different Albino rats' samples captured using light microscope for three different organs, namely hippocampus, renal and pancreas. The Bag-of-Features (BoF) technique was employed for features extraction and selection. The BoF selected features were used as input to the multiclass linear support vector machine classifier. The proposed classifier achieved 94.33% average classification accuracy for the three classes. Additionally, for binary classification the achieved average accuracy was 100% for hippocampus and pancreas sets classification." @default.
- W4250995073 created "2022-05-12" @default.
- W4250995073 creator A5000975435 @default.
- W4250995073 creator A5049464852 @default.
- W4250995073 creator A5068271733 @default.
- W4250995073 date "2017-01-01" @default.
- W4250995073 modified "2023-10-17" @default.
- W4250995073 title "Bag-of-Features in Microscopic Images Classification" @default.
- W4250995073 cites W1618587350 @default.
- W4250995073 cites W1974312253 @default.
- W4250995073 cites W1986482242 @default.
- W4250995073 cites W1994053023 @default.
- W4250995073 cites W1997480489 @default.
- W4250995073 cites W2003563992 @default.
- W4250995073 cites W2017733151 @default.
- W4250995073 cites W2063361414 @default.
- W4250995073 cites W2079914758 @default.
- W4250995073 cites W2081719476 @default.
- W4250995073 cites W2082214172 @default.
- W4250995073 cites W2107294643 @default.
- W4250995073 cites W2110037320 @default.
- W4250995073 cites W2115355353 @default.
- W4250995073 cites W2115451053 @default.
- W4250995073 cites W2122198816 @default.
- W4250995073 cites W2126860197 @default.
- W4250995073 cites W2128830002 @default.
- W4250995073 cites W2133458583 @default.
- W4250995073 cites W2137033724 @default.
- W4250995073 cites W2144705783 @default.
- W4250995073 cites W2160633263 @default.
- W4250995073 cites W2161260069 @default.
- W4250995073 cites W2165013382 @default.
- W4250995073 cites W2171896402 @default.
- W4250995073 cites W2172191903 @default.
- W4250995073 cites W2252285100 @default.
- W4250995073 cites W2326203679 @default.
- W4250995073 cites W2563967940 @default.
- W4250995073 cites W2619275962 @default.
- W4250995073 cites W4238921364 @default.
- W4250995073 cites W985546089 @default.
- W4250995073 doi "https://doi.org/10.4018/978-1-5225-0571-6.ch017" @default.
- W4250995073 hasPublicationYear "2017" @default.
- W4250995073 type Work @default.
- W4250995073 citedByCount "1" @default.
- W4250995073 countsByYear W42509950732022 @default.
- W4250995073 crossrefType "book-chapter" @default.
- W4250995073 hasAuthorship W4250995073A5000975435 @default.
- W4250995073 hasAuthorship W4250995073A5049464852 @default.
- W4250995073 hasAuthorship W4250995073A5068271733 @default.
- W4250995073 hasConcept C115961682 @default.
- W4250995073 hasConcept C12267149 @default.
- W4250995073 hasConcept C123860398 @default.
- W4250995073 hasConcept C153180895 @default.
- W4250995073 hasConcept C154945302 @default.
- W4250995073 hasConcept C41008148 @default.
- W4250995073 hasConcept C66905080 @default.
- W4250995073 hasConcept C75294576 @default.
- W4250995073 hasConcept C95623464 @default.
- W4250995073 hasConceptScore W4250995073C115961682 @default.
- W4250995073 hasConceptScore W4250995073C12267149 @default.
- W4250995073 hasConceptScore W4250995073C123860398 @default.
- W4250995073 hasConceptScore W4250995073C153180895 @default.
- W4250995073 hasConceptScore W4250995073C154945302 @default.
- W4250995073 hasConceptScore W4250995073C41008148 @default.
- W4250995073 hasConceptScore W4250995073C66905080 @default.
- W4250995073 hasConceptScore W4250995073C75294576 @default.
- W4250995073 hasConceptScore W4250995073C95623464 @default.
- W4250995073 hasLocation W42509950731 @default.
- W4250995073 hasOpenAccess W4250995073 @default.
- W4250995073 hasPrimaryLocation W42509950731 @default.
- W4250995073 hasRelatedWork W2041636156 @default.
- W4250995073 hasRelatedWork W2108940048 @default.
- W4250995073 hasRelatedWork W2112343299 @default.
- W4250995073 hasRelatedWork W2160451891 @default.
- W4250995073 hasRelatedWork W2346140873 @default.
- W4250995073 hasRelatedWork W3022934437 @default.
- W4250995073 hasRelatedWork W3092760571 @default.
- W4250995073 hasRelatedWork W3158952099 @default.
- W4250995073 hasRelatedWork W4221015625 @default.
- W4250995073 hasRelatedWork W2345184372 @default.
- W4250995073 isParatext "false" @default.
- W4250995073 isRetracted "false" @default.
- W4250995073 workType "book-chapter" @default.