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Is deep learning capable of detect small (less than 1% of the image) in radiographs? And how many radiographs do we need use when re-training a deep learning model?\n  Methods: We annotated 396 radiographs of left and right carpi dorsal 75 medial to palmarolateral oblique (DMPLO) projection with the location of radius, proximal row of carpal bones, distal row of carp"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2210.08734","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-10-17T04:02:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"1e6385c646dae3dbe904faee88b3de13e30136540100f286de245eae212af2cd","abstract_canon_sha256":"cb686e289481c3a5890543e2dedaa7087aa8369c53c518735b40d9e796410974"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:07:14.416227Z","signature_b64":"gozv2De6aJ06e2BQ/uebc2JZp1l1cIABLSW+CO0k1TJGWgCSEvq7XAACD3u6lHYCCADg91hxXVXmCNQl1hasDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a649ae9d1761d6e0bcc53ae021216ac891a170221ca3c3dde9f4706f01d4c99","last_reissued_at":"2026-07-05T05:07:14.415826Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:07:14.415826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"How many radiographs are needed to re-train a deep learning system for object detection?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Christopher M Riggs, Khizar Hayat, Michael Doube, Raniere Silva","submitted_at":"2022-10-17T04:02:30Z","abstract_excerpt":"Background: Object detection in radiograph computer vision has largely benefited from progress in deep convolutional neural networks and can, for example, annotate a radiograph with a box around a knee joint or intervertebral disc. 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