{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T08:03:39Z","timestamp":1789632219837,"version":"build-2803163510"},"reference-count":17,"publisher":"Galenos Yayinevi","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["dir"],"DOI":"10.4274\/dir.2026.263749","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T11:35:16Z","timestamp":1773833716000},"source":"Crossref","is-referenced-by-count":0,"title":["Keros-Net: a convolutional block attention module\u2013squeeze-and-excitation-integrated hybrid learning framework for olfactory fossa depth classification"],"prefix":"10.4274","author":[{"given":"Z\u00fclk\u00fcf","family":"Akdemir","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murat","family":"Canayaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdulaziz","family":"Yal\u0131nk\u0131l\u0131\u00e7","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suat","family":"Orak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2811","published-online":{"date-parts":[[2026,3,18]]},"reference":[{"issue":"3","key":"ref0","doi-asserted-by":"publisher","first-page":"152","DOI":"10.2302\/kjm.58.152","article-title":"What are the limits of endoscopic sinus surgery?: the expanded endonasal approach to the skull base","volume":"58","author":"Snyderman","year":"2009","unstructured":"1. Snyderman CH, Pant H, Carrau RL, Prevedello D, Gardner P, Kassam AB. What are the limits of endoscopic sinus surgery?: the expanded endonasal approach to the skull base. Keio J Med. 2009;58(3):152-160.","journal-title":"Keio J Med"},{"issue":"1","key":"ref1","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1148\/radiol.2016152230","article-title":"The preoperative sinus CT: avoiding a \"CLOSE\" call with surgical complications","volume":"281","author":"O'Brien WT Sr","year":"2016","unstructured":"2. O'Brien WT Sr, Hamelin S, Weitzel EK. The preoperative sinus CT: avoiding a \"CLOSE\" call with surgical complications. Radiology. 2016;281(1):10-21.","journal-title":"Radiology"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.jocn.2022.02.017","article-title":"The important adjacent structures for anterior ethmoidal artery in FESS: anterior ethmoidal artery canal angle, supraorbital ethmoid cells and Keros classifica-tion","volume":"98","author":"\u00d6zdemir A","year":"2022","unstructured":"3. \u00d6zdemir A, Bayar Muluk N. The important adjacent structures for anterior ethmoidal artery in FESS: anterior ethmoidal artery canal angle, supraorbital ethmoid cells and Keros classifica-tion. J Clin Neurosci. 2022;98:207-212.","journal-title":"J Clin Neurosci"},{"issue":"6","key":"ref3","doi-asserted-by":"publisher","first-page":"667","DOI":"10.3348\/kjr.2012.13.6.667","article-title":"Evaluation of anterior ethmoidal artery by 320-slice CT angiography with comparison to three-dimensional spin digital subtraction angiography: initial experienc-es","volume":"13","author":"Ding","year":"2012","unstructured":"4. Ding J, Sun G, Lu Y, et al. Evaluation of anterior ethmoidal artery by 320-slice CT angiography with comparison to three-dimensional spin digital subtraction angiography: initial experienc-es. Korean J Radiol. 2012;13(6):667-673.","journal-title":"Korean J Radiol"},{"issue":"1","key":"ref4","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/S1808-8694(15)30839-9","article-title":"Anterior ethmoidal artery evaluation on coronal CT scans","volume":"75","author":"Souza","year":"2009","unstructured":"5. Souza SA, Souza MM, Greg\u00f3rio LC, Ajzen S. Anterior ethmoidal artery evaluation on coronal CT scans. Braz J Otorhinolaryngol. 2009;75(1):101-106.","journal-title":"Braz J Otorhinolaryngol"},{"key":"ref5","unstructured":"6. Ba\u015fak S, Karaman CZ, Akdilli A, Mutlu C, Odaba\u015fi O, Erpek G. Evaluation of some important anatomical variations and dangerous areas of the paranasal sinuses by CT for safer endonasal surgery. Rhinology. 1998;36(4):162-167."},{"issue":"6","key":"ref6","doi-asserted-by":"publisher","first-page":"1584","DOI":"10.1007\/s00330-006-0519-4","article-title":"Initial findings","volume":"17","author":"Pandolfo","year":"2007","unstructured":"7. Pandolfo I, Vinci S, Salamone I, Granata F, Mazziotti S. Evaluation of the anterior ethmoidal ar-tery by 3D dual volume rotational digital subtraction angiography and native multidetector CT with multiplanar reformations. Initial findings. Eur Radiol. 2007;17(6):1584-1590.","journal-title":"Eur Radiol"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"4600","DOI":"10.1038\/s41598-020-61610-1","article-title":"A new radiological classification for the risk assessment of anterior skull base injury in endoscopic sinus surgery","volume":"10","author":"Abdullah","year":"2020","unstructured":"8. Abdullah B, Chew SC, Aziz ME, et al. A new radiological classification for the risk assessment of anterior skull base injury in endoscopic sinus surgery. Sci Rep. 2020;10:4600.","journal-title":"Sci Rep"},{"issue":"4","key":"ref8","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1007\/s12070-017-1229-8","article-title":"A study of clinical significance of the depth of olfactory fossa in patients un-dergoing endoscopic sinus surgery","volume":"69","author":"AM","year":"2017","unstructured":"9. V AM, Santosh B. A study of clinical significance of the depth of olfactory fossa in patients un-dergoing endoscopic sinus surgery. Indian J Otolaryngol Head Neck Surg. 2017;69(4):514-522.","journal-title":"Indian J Otolaryngol Head Neck Surg"},{"issue":"4","key":"ref9","doi-asserted-by":"publisher","first-page":"3146","DOI":"10.1007\/s12070-023-03931-x","article-title":"Analysis of the corre-lation of the lamina papyracea-to-midline distance with the location of anterior ethmoidal ar-tery and Keros classification","volume":"75","author":"Ya\u011fmur","year":"2023","unstructured":"10. Ya\u011fmur AR, \u00c7\u0131vg\u0131n E, \u00d6zcan KM, Yurtsever Kum N, Karaku\u015f MF, Dere HH. Analysis of the corre-lation of the lamina papyracea-to-midline distance with the location of anterior ethmoidal ar-tery and Keros classification. Indian J Otolaryngol Head Neck Surg. 2023;75(4):3146-3151.","journal-title":"Indian J Otolaryngol Head Neck Surg"},{"issue":"3","key":"ref10","doi-asserted-by":"publisher","first-page":"319","DOI":"10.2174\/1573405614666180314150237","article-title":"Cribriform plate, crista galli, olfactory fossa and sep-tal deviation","volume":"15","author":"\u015eahan","year":"2019","unstructured":"11. \u015eahan MH, Inal M, Muluk NB, \u015eim\u015fek G. Cribriform plate, crista galli, olfactory fossa and sep-tal deviation. Curr Med Imaging Rev. 2019;15(3):319-325.","journal-title":"Curr Med Imaging Rev"},{"issue":"4","key":"ref11","doi-asserted-by":"publisher","first-page":"707","DOI":"10.33314\/jnhrc.v22i04.5215","article-title":"Evaluation of olfactory fossa depth using computed tomography","volume":"22","author":"Paudel","year":"2025","unstructured":"12. Paudel S, Sah R, Budhathoki T, Pandey G. Evaluation of olfactory fossa depth using computed tomography. J Nepal Health Res Counc. 2025;22(4):707-711.","journal-title":"J Nepal Health Res Counc"},{"issue":"4","key":"ref12","doi-asserted-by":"publisher","first-page":"395","DOI":"10.4103\/ijri.IJRI_119_18","article-title":"Olfactory fossa depth: CT analysis of 1200 patients","volume":"28","author":"Babu","year":"2018","unstructured":"13. Babu AC, Nair MRPB, Kuriakose AM. Olfactory fossa depth: CT analysis of 1200 patients. Indi-an J Radiol Imaging. 2018;28(4):395-400.","journal-title":"Indi-an J Radiol Imaging"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"200559","DOI":"10.1016\/j.iswa.2025.200559","article-title":"Paranasal sinus analysis based on deep learning and ma-chine learning techniques: a comprehensive survey","volume":"27","author":"Alsalama","year":"2025","unstructured":"14. Alsalama A, Harous S, Elnagar A. Paranasal sinus analysis based on deep learning and ma-chine learning techniques: a comprehensive survey. Intelligent Systems with Applications. 2025;27:200559.","journal-title":"Intelligent Systems with Applications"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"16444","DOI":"10.1109\/ACCESS.2025.3531396","article-title":"Deep learning-based fully automatic segmentation of the para-nasal sinuses in chronic rhinosinusitis patients using computed tomographic images","volume":"13","author":"Wang","year":"2025","unstructured":"15. Wang Y, Zhang X, Du W, Dai N. Deep learning-based fully automatic segmentation of the para-nasal sinuses in chronic rhinosinusitis patients using computed tomographic images. IEEE Access. 2025;13:16444-16454.","journal-title":"IEEE Access"},{"issue":"1","key":"ref15","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1186\/s12938-025-01376-7","article-title":"The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses","volume":"24","author":"Lee","year":"2025","unstructured":"16. Lee DJ, Hamghalam M, Wang L, et al. The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses. Biomed Eng Online. 2025;24(1):49.","journal-title":"Biomed Eng Online"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"102564","DOI":"10.1109\/ACCESS.2025.3578919","article-title":"A novel deep hybrid model for automatic femoral stem classifi-cation in hip arthroplasty from radiographs: MSFT-Net with CBAM and transformer modules","volume":"13","author":"Gogus","year":"2025","unstructured":"17. Gogus E, Yilmaz A, Enercan M. A novel deep hybrid model for automatic femoral stem classifi-cation in hip arthroplasty from radiographs: MSFT-Net with CBAM and transformer modules. IEEE Access. 2025;13:102564-102577.","journal-title":"IEEE Access"}],"container-title":["Diagnostic and Interventional Radiology"],"original-title":[],"deposited":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T07:17:42Z","timestamp":1789629462000},"score":1,"resource":{"primary":{"URL":"https:\/\/dirjournal.org\/articles\/keros-net-a-convolutional-block-attention-module-squeeze-and-excitation-integrated-hybrid-learning-framework-for-olfactory-fossa-depth-classification\/doi\/dir.2026.263749"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,18]]},"references-count":17,"URL":"https:\/\/doi.org\/10.4274\/dir.2026.263749","relation":{},"ISSN":["1305-3825","1305-3612"],"issn-type":[{"value":"1305-3825","type":"print"},{"value":"1305-3612","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,18]]}}}