| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPEW34M/45D2P52 | |||
| Repository | sid.inpe.br/sibgrapi/2021/09.07.03.09 | |||
| Last Update | 2021:09.07.03.09.24 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2021/09.07.03.09.24 | |||
| Metadata Last Update | 2022:06.14.00.00.32 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI54419.2021.00026 | |||
| Citation Key | AlmeidaPerRenCavSij:2021:ApDeLo | |||
| Title | The gated recurrent conditional generative adversarial network (GRC-GAN): application to denoising of low-dose CT images  | |||
| Format | On-line | |||
| Year | 2021 | |||
| Access Date | 2024, Apr. 27 | |||
| Number of Files | 1 | |||
| Size | 1700 KiB | |||
| 2. Context | ||||
| Author | 1 Almeida, Mateus Baltazar 2 Pereira, Luis F. Alves 3 Ren, Tsang Ing 4 Cavalcanti, George D. C. 5 Sijbers, Jan | |||
| Affiliation | 1 Universidade Federal do Agreste de Pernambuco 2 Universidade Federal do Agreste de Pernambuco 3 Universidade Federal de Pernambuco 4 Universidade Federal de Pernambuco 5 University of Antwerp | |||
| Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra | |||
| e-Mail Address | mateusbaltazar9@gmail.com | |||
| Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) | |||
| Conference Location | Gramado, RS, Brazil (virtual) | |||
| Date | 18-22 Oct. 2021 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2021-09-07 03:09:25 :: mateusbaltazar9@gmail.com -> administrator :: 2022-03-02 00:54:16 :: administrator -> menottid@gmail.com :: 2021 2022-03-02 13:18:19 :: menottid@gmail.com -> administrator :: 2021 2022-06-14 00:00:32 :: administrator -> :: 2021 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | adversarial networks gated unit denoising | |||
| Abstract | The ionizing radiation that propagates through the human body at Computed Tomography (CT) exams is known to be carcinogenic. For this reason, the development of methods for image reconstruction that operate with reduced radiation doses is essential. If we reduce the electrical current in the electrically powered X-ray tubes of CT scanners, the amount of radiation that passes through the human body during a CT exam is reduced. However, significant image noise emerges in the reconstructed CT slices if standard reconstruction methods are applied. To estimate routine-dose CT images from low-dose CT images and thus reduce noise, the Conditional Generative Adversarial Network (cGAN) was recently proposed in the literature. In this work, we introduce the Gated Recurrent Conditional Generative Adversarial Network (GRC-GAN) that is based on the usage of network gates to learn the specific regions of the input image to be updated using the cGAN denoising operation. Moreover, the GRC-GAN is executed recurrently in multiple time steps. At each time step, different parts of the input image are denoised. As a result, our GRC-GAN better focus on the denoise criterium than the regular cGAN in the LoDoPaB-CT benchmark. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > The gated recurrent... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > The gated recurrent... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45D2P52 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45D2P52 | |||
| Language | en | |||
| Target File | 40.pdf | |||
| User Group | mateusbaltazar9@gmail.com | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 3 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||