?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Automated+Image+Quality+Assessment+for+Anterior+Segment+Optical+Coherence+Tomograph&rft.creator=Chen%2C+Boyu&rft.creator=Solebo%2C+Ameenat+L&rft.creator=Taylor%2C+Paul&rft.description=Optical+Coherence+Tomography+(OCT)+is+a+technique+for+diagnosing+eye+disorders.+Image+quality+assessment+(IQA)+of+OCT+images+is+essential%2C+but+manual+IQA+is+time+consuming+and+subjective.+Recently%2C+automated+IQA+methods+based+on+deep+learning+(DL)+have+achieved+good+performance.+However%2C+few+of+these+methods+focus+on+OCT+images+of+the+anterior+segment+of+the+eye+(AS-OCT).+Moreover%2C+few+of+these+methods+identify+the+factors+that+affect+the+quality+of+the+images+(called+%22quality+factors%22+in+this+paper).+This+could+adversely+affect+the+acceptance+of+their+results.+In+this+study%2C+we+define%2C+for+the+first+time+to+the+best+of+our+knowledge%2C+the+quality+level+and+four+quality+factors+of+AS-OCT+for+the+clinical+context+of+anterior+chamber+inflammation.+We+also+develop+an+automated+framework+based+on+multi-task+learning+to+assess+the+quality+and+to+identify+the+existing+of+quality+factors+in+the+AS-OCT+images.+The+effectiveness+of+the+framework+is+demonstrated+in+experiments.&rft.subject=Q-factor%3B+Image+quality%3B+Deep+learning%3B+Image+segmentation%3B+Biomedical+optical+imaging%3B%0D%0AOptical+coherence+tomography%3B+Coherence&rft.publisher=IEEE&rft.date=2023-09-01&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++2023+IEEE+20th+International+Symposium+on+Biomedical+Imaging+(ISBI).++++IEEE%3A+Cartagena%2C+Colombia.+(2023)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10178518%2F1%2FISBI23_paper_057.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10178518%2F&rft.rights=open