Confusion matrix on the histopathological image dataset.
<p>Confusion matrix on the histopathological image dataset.</p>
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2024
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| _version_ | 1852024619466227712 |
|---|---|
| author | Dhirendra Prasad Yadav (20235097) |
| author2 | Bhisham Sharma (20235100) Shivank Chauhan (20235106) Julian L. Webber (20235103) Abolfazl Mehbodniya (11988747) |
| author2_role | author author author author |
| author_facet | Dhirendra Prasad Yadav (20235097) Bhisham Sharma (20235100) Shivank Chauhan (20235106) Julian L. Webber (20235103) Abolfazl Mehbodniya (11988747) |
| author_role | author |
| dc.creator.none.fl_str_mv | Dhirendra Prasad Yadav (20235097) Bhisham Sharma (20235100) Shivank Chauhan (20235106) Julian L. Webber (20235103) Abolfazl Mehbodniya (11988747) |
| dc.date.none.fl_str_mv | 2024-12-06T18:37:10Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0312598.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Confusion_matrix_on_the_histopathological_image_dataset_/27983837 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified rapidly growing globally lightweight transformer encoder convolution neural network automated diagnosis system model obtained 94 model &# 8217 different patch sizes scale lightweight cross diagnose skin cancer different scales improved may affect performance ham 10000 dataset dimensional spatial features provides global attention ham 10000 spatial features model superiority different parts skin lesion performed cross global attention extracted features enhanced features crafted features precision values past decade pad datasets machine learning fusion strategy dermoscopic images cnn improved based methods |
| dc.title.none.fl_str_mv | Confusion matrix on the histopathological image dataset. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Confusion matrix on the histopathological image dataset.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_a8f2a446cfc5ebbc543b77b7c34877bb |
| identifier_str_mv | 10.1371/journal.pone.0312598.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27983837 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Confusion matrix on the histopathological image dataset.Dhirendra Prasad Yadav (20235097)Bhisham Sharma (20235100)Shivank Chauhan (20235106)Julian L. Webber (20235103)Abolfazl Mehbodniya (11988747)Space ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedrapidly growing globallylightweight transformer encoderconvolution neural networkautomated diagnosis systemmodel obtained 94model &# 8217different patch sizesscale lightweight crossdiagnose skin cancerdifferent scales improvedmay affect performanceham 10000 datasetdimensional spatial featuresprovides global attentionham 10000spatial featuresmodel superioritydifferent partsskin lesionperformed crossglobal attentionextracted featuresenhanced featurescrafted featuresprecision valuespast decadepad datasetsmachine learningfusion strategydermoscopic imagescnn improvedbased methods<p>Confusion matrix on the histopathological image dataset.</p>2024-12-06T18:37:10ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0312598.g008https://figshare.com/articles/figure/Confusion_matrix_on_the_histopathological_image_dataset_/27983837CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/279838372024-12-06T18:37:10Z |
| spellingShingle | Confusion matrix on the histopathological image dataset. Dhirendra Prasad Yadav (20235097) Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified rapidly growing globally lightweight transformer encoder convolution neural network automated diagnosis system model obtained 94 model &# 8217 different patch sizes scale lightweight cross diagnose skin cancer different scales improved may affect performance ham 10000 dataset dimensional spatial features provides global attention ham 10000 spatial features model superiority different parts skin lesion performed cross global attention extracted features enhanced features crafted features precision values past decade pad datasets machine learning fusion strategy dermoscopic images cnn improved based methods |
| status_str | publishedVersion |
| title | Confusion matrix on the histopathological image dataset. |
| title_full | Confusion matrix on the histopathological image dataset. |
| title_fullStr | Confusion matrix on the histopathological image dataset. |
| title_full_unstemmed | Confusion matrix on the histopathological image dataset. |
| title_short | Confusion matrix on the histopathological image dataset. |
| title_sort | Confusion matrix on the histopathological image dataset. |
| topic | Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified rapidly growing globally lightweight transformer encoder convolution neural network automated diagnosis system model obtained 94 model &# 8217 different patch sizes scale lightweight cross diagnose skin cancer different scales improved may affect performance ham 10000 dataset dimensional spatial features provides global attention ham 10000 spatial features model superiority different parts skin lesion performed cross global attention extracted features enhanced features crafted features precision values past decade pad datasets machine learning fusion strategy dermoscopic images cnn improved based methods |