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Data · dataset · 2024

Improving the annotation process in computational pathology: from manual to semi-automatic approaches in digital nephropathology

Listed in Bicocca Open Archive Research Data

The development of reliable artificial intelligence (AI) algorithms in pathology depends on solid ground truth provided by meticulous annotation of whole slide images (WSI), a time-consuming and operator-dependent process.

Description

A benchmark of the available annotation tools is performed to standardize and streamline this process.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Bicocca Open Archive Research Dataoai:board.unimib.it/c36ywkzrm9.17 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:field:320220mapping · board unimib itvocabulary-mapper@1.0.0keywords['Pathology']
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concepts[field].local:field:life-sciencesmapping · board unimib itconnector:board_unimib_it@1.0.0
concepts[field].local:field:social-sciencemapping · board unimib itconnector:board_unimib_it@1.0.0
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