Matches in SemOpenAlex for { <https://semopenalex.org/work/W2923754865> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2923754865 abstract "Tissue classification on histological images is a useful alternative to manual histology analysis, and has been well-studied in a variety of machine learning approaches. However, classification of whole slide images at high resolution is a difficult and computationally-intensive task. In addition, many tissue analysis tasks are targeted at identifying rare or small regions of tissue. In colon cancer, small groups of tumor cells (tumor buds) exist on the front edge of the invasive tumor region and are an important indicator of cancer aggressiveness. These small objects are difficult or impossible to detect when examining an image at lower resolution, while running the classifier at an appropriate high resolution can be time consuming. In this work, a two-tier convolutional neural network classification approach is explored to identify small but important tissue regions on whole-slide tissue scans. The first tier is a coarse-level classifier trained with patches extracted from the image at a low power field (4x optical magnification), designed to identify two main tissue types: tumor and nontumor areas. Regions that are likely to contain tumor buds (non-tumor regions) are passed to a fine-level classifier that classifies the patches into 9 additional tissue types at a high-power field (40x). The system achieves a 43% reduction in processing time (3 hours to 1.7 hours for a 19,200-by-19,200 pixel image). The two-tier classifier provides an efficient whole-slide tissue classification by narrowing down the regions of interest, increasing the chances of tumor buds being identified." @default.
- W2923754865 created "2019-04-01" @default.
- W2923754865 creator A5010576526 @default.
- W2923754865 creator A5011156931 @default.
- W2923754865 creator A5054230830 @default.
- W2923754865 date "2019-03-18" @default.
- W2923754865 modified "2023-09-24" @default.
- W2923754865 title "Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping" @default.
- W2923754865 cites W1788937818 @default.
- W2923754865 cites W182200930 @default.
- W2923754865 cites W2022691785 @default.
- W2923754865 cites W2404139044 @default.
- W2923754865 cites W2435090885 @default.
- W2923754865 cites W2598363796 @default.
- W2923754865 cites W2613155248 @default.
- W2923754865 cites W2911188335 @default.
- W2923754865 cites W4229530428 @default.
- W2923754865 doi "https://doi.org/10.1117/12.2512973" @default.
- W2923754865 hasPublicationYear "2019" @default.
- W2923754865 type Work @default.
- W2923754865 sameAs 2923754865 @default.
- W2923754865 citedByCount "1" @default.
- W2923754865 countsByYear W29237548652022 @default.
- W2923754865 crossrefType "proceedings-article" @default.
- W2923754865 hasAuthorship W2923754865A5010576526 @default.
- W2923754865 hasAuthorship W2923754865A5011156931 @default.
- W2923754865 hasAuthorship W2923754865A5054230830 @default.
- W2923754865 hasConcept C115961682 @default.
- W2923754865 hasConcept C127313418 @default.
- W2923754865 hasConcept C153180895 @default.
- W2923754865 hasConcept C154945302 @default.
- W2923754865 hasConcept C2777522853 @default.
- W2923754865 hasConcept C3020199158 @default.
- W2923754865 hasConcept C41008148 @default.
- W2923754865 hasConcept C4144372 @default.
- W2923754865 hasConcept C62649853 @default.
- W2923754865 hasConcept C75294576 @default.
- W2923754865 hasConcept C81363708 @default.
- W2923754865 hasConcept C95623464 @default.
- W2923754865 hasConceptScore W2923754865C115961682 @default.
- W2923754865 hasConceptScore W2923754865C127313418 @default.
- W2923754865 hasConceptScore W2923754865C153180895 @default.
- W2923754865 hasConceptScore W2923754865C154945302 @default.
- W2923754865 hasConceptScore W2923754865C2777522853 @default.
- W2923754865 hasConceptScore W2923754865C3020199158 @default.
- W2923754865 hasConceptScore W2923754865C41008148 @default.
- W2923754865 hasConceptScore W2923754865C4144372 @default.
- W2923754865 hasConceptScore W2923754865C62649853 @default.
- W2923754865 hasConceptScore W2923754865C75294576 @default.
- W2923754865 hasConceptScore W2923754865C81363708 @default.
- W2923754865 hasConceptScore W2923754865C95623464 @default.
- W2923754865 hasLocation W29237548651 @default.
- W2923754865 hasOpenAccess W2923754865 @default.
- W2923754865 hasPrimaryLocation W29237548651 @default.
- W2923754865 hasRelatedWork W2027981468 @default.
- W2923754865 hasRelatedWork W2029854193 @default.
- W2923754865 hasRelatedWork W2036623320 @default.
- W2923754865 hasRelatedWork W2099845624 @default.
- W2923754865 hasRelatedWork W2142898993 @default.
- W2923754865 hasRelatedWork W2184577276 @default.
- W2923754865 hasRelatedWork W2312404985 @default.
- W2923754865 hasRelatedWork W2321243415 @default.
- W2923754865 hasRelatedWork W2599379717 @default.
- W2923754865 hasRelatedWork W2606095531 @default.
- W2923754865 hasRelatedWork W2735732766 @default.
- W2923754865 hasRelatedWork W2738951596 @default.
- W2923754865 hasRelatedWork W2883567318 @default.
- W2923754865 hasRelatedWork W2902280286 @default.
- W2923754865 hasRelatedWork W2912354537 @default.
- W2923754865 hasRelatedWork W2993920655 @default.
- W2923754865 hasRelatedWork W3034447539 @default.
- W2923754865 hasRelatedWork W3036130838 @default.
- W2923754865 hasRelatedWork W3126827997 @default.
- W2923754865 hasRelatedWork W3038846693 @default.
- W2923754865 isParatext "false" @default.
- W2923754865 isRetracted "false" @default.
- W2923754865 magId "2923754865" @default.
- W2923754865 workType "article" @default.