Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306177466> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4306177466 abstract "Classification on smartphone-captured chest X-ray (CXR) photos to detect pathologies is challenging due to the projective transformation caused by the non-ideal camera position. Recently, various rectification methods have been proposed for different photo rectification tasks such as document photos, license plate photos, etc. Unfortunately, we found that none of them is suitable for CXR photos, due to their specific transformation type, image appearance, annotation type, etc. In this paper, we propose an innovative deep learning-based Projective Transformation Rectification Network (PTRN) to automatically rectify CXR photos by predicting the projective transformation matrix. To the best of our knowledge, it is the first work to predict the projective transformation matrix as the learning goal for photo rectification. Additionally, to avoid the expensive collection of natural data, synthetic CXR photos are generated under the consideration of natural perturbations, extra screens, etc. We evaluate the proposed approach in the CheXphoto smartphone-captured CXR photos classification competition hosted by the Stanford University Machine Learning Group, our approach won first place with a huge performance improvement (ours 0.850, second-best 0.762, in AUC). A deeper study demonstrates that the use of PTRN successfully achieves the classification performance on the spatially transformed CXR photos to the same level as on the high-quality digital CXR images, indicating PTRN can eliminate all negative impacts of projective transformation on the CXR photos." @default.
- W4306177466 created "2022-10-14" @default.
- W4306177466 creator A5031417415 @default.
- W4306177466 creator A5052878834 @default.
- W4306177466 creator A5058849662 @default.
- W4306177466 creator A5090989509 @default.
- W4306177466 date "2022-10-12" @default.
- W4306177466 modified "2023-09-23" @default.
- W4306177466 title "Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification" @default.
- W4306177466 doi "https://doi.org/10.1016/j.compbiomed.2023.107277" @default.
- W4306177466 hasPublicationYear "2022" @default.
- W4306177466 type Work @default.
- W4306177466 citedByCount "0" @default.
- W4306177466 crossrefType "posted-content" @default.
- W4306177466 hasAuthorship W4306177466A5031417415 @default.
- W4306177466 hasAuthorship W4306177466A5052878834 @default.
- W4306177466 hasAuthorship W4306177466A5058849662 @default.
- W4306177466 hasAuthorship W4306177466A5090989509 @default.
- W4306177466 hasBestOaLocation W43061774661 @default.
- W4306177466 hasConcept C104317684 @default.
- W4306177466 hasConcept C108583219 @default.
- W4306177466 hasConcept C115961682 @default.
- W4306177466 hasConcept C121332964 @default.
- W4306177466 hasConcept C153180895 @default.
- W4306177466 hasConcept C154945302 @default.
- W4306177466 hasConcept C163258240 @default.
- W4306177466 hasConcept C165443888 @default.
- W4306177466 hasConcept C185592680 @default.
- W4306177466 hasConcept C204241405 @default.
- W4306177466 hasConcept C31972630 @default.
- W4306177466 hasConcept C39920418 @default.
- W4306177466 hasConcept C41008148 @default.
- W4306177466 hasConcept C50942859 @default.
- W4306177466 hasConcept C55493867 @default.
- W4306177466 hasConcept C56435381 @default.
- W4306177466 hasConcept C62520636 @default.
- W4306177466 hasConcept C74650414 @default.
- W4306177466 hasConceptScore W4306177466C104317684 @default.
- W4306177466 hasConceptScore W4306177466C108583219 @default.
- W4306177466 hasConceptScore W4306177466C115961682 @default.
- W4306177466 hasConceptScore W4306177466C121332964 @default.
- W4306177466 hasConceptScore W4306177466C153180895 @default.
- W4306177466 hasConceptScore W4306177466C154945302 @default.
- W4306177466 hasConceptScore W4306177466C163258240 @default.
- W4306177466 hasConceptScore W4306177466C165443888 @default.
- W4306177466 hasConceptScore W4306177466C185592680 @default.
- W4306177466 hasConceptScore W4306177466C204241405 @default.
- W4306177466 hasConceptScore W4306177466C31972630 @default.
- W4306177466 hasConceptScore W4306177466C39920418 @default.
- W4306177466 hasConceptScore W4306177466C41008148 @default.
- W4306177466 hasConceptScore W4306177466C50942859 @default.
- W4306177466 hasConceptScore W4306177466C55493867 @default.
- W4306177466 hasConceptScore W4306177466C56435381 @default.
- W4306177466 hasConceptScore W4306177466C62520636 @default.
- W4306177466 hasConceptScore W4306177466C74650414 @default.
- W4306177466 hasLocation W43061774661 @default.
- W4306177466 hasOpenAccess W4306177466 @default.
- W4306177466 hasPrimaryLocation W43061774661 @default.
- W4306177466 hasRelatedWork W1984315854 @default.
- W4306177466 hasRelatedWork W2048518944 @default.
- W4306177466 hasRelatedWork W2069620371 @default.
- W4306177466 hasRelatedWork W2160477361 @default.
- W4306177466 hasRelatedWork W2296353045 @default.
- W4306177466 hasRelatedWork W2389828343 @default.
- W4306177466 hasRelatedWork W2747633686 @default.
- W4306177466 hasRelatedWork W2779677469 @default.
- W4306177466 hasRelatedWork W2798297683 @default.
- W4306177466 hasRelatedWork W2891751697 @default.
- W4306177466 isParatext "false" @default.
- W4306177466 isRetracted "false" @default.
- W4306177466 workType "article" @default.