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Data · dataset · 2022

Raw data and source code

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Description

The dataset includes the diagnostic performance of 5 algorithms in image cropping and non-cropping, the 5 algorithms are: DenseNetImageNet121, inception_resnet_v2, nception_v3, resnet50, Xception.There are two types of images: cropped and non-cropped., the training images are stored in the train and test directories., there are two subdirectories in the train directory, namely Malignant and Benign, there are 800 images respectively.There are 2 subdirectories in the test directory, Malignant and Benign, with 165 images respectively, and 2 directories for external test data, External_test_image and External_test_cropimage, with 400 images respectively.

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Inferred from text
Image 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00104.0011212 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title