TY - GEN
T1 - Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation
AU - Tian, Peng
AU - Dy, Jennifer
AU - Erdogmus, Deniz
AU - Ostmo, Susan
AU - Campbell, J. Peter Peter
AU - Chiang, Michael F.F.
AU - Ioannidis, Stratis
N1 - Funding Information:
Our work is supported by NIH (R01EY019474), NSF (SCH-1622542 at MGH, SCH-1622536 at Northeastern, SCH-1622679 at OHSU), a Facebook Research Award, and by unrestricted departmental funding from Research to Prevent Blindness (OHSU).
Publisher Copyright:
© 2021 ACM.
PY - 2021/6/29
Y1 - 2021/6/29
N2 - Retinopathy of Prematurity (ROP) is a disease affecting premature infants and may lead to childhood blindness. Due to lack of trained ophthalmologists, developing a fully automated ROP diagnostic system can significantly benefit the infants affected by ROP. Based on manually segmented features, previous work produces severity scores for ROP with excellent prediction accuracy. However, when automated segmentation employed, a significant accuracy drop is observed. In this paper, we show that U-Net segmentation, which is automated, comes at no accuracy loss.
AB - Retinopathy of Prematurity (ROP) is a disease affecting premature infants and may lead to childhood blindness. Due to lack of trained ophthalmologists, developing a fully automated ROP diagnostic system can significantly benefit the infants affected by ROP. Based on manually segmented features, previous work produces severity scores for ROP with excellent prediction accuracy. However, when automated segmentation employed, a significant accuracy drop is observed. In this paper, we show that U-Net segmentation, which is automated, comes at no accuracy loss.
KW - Retinopathy of Prematurity
KW - U-Net
KW - learning from comparisons
UR - http://www.scopus.com/inward/record.url?scp=85109307480&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85109307480&partnerID=8YFLogxK
U2 - 10.1145/3453892.3454002
DO - 10.1145/3453892.3454002
M3 - Conference contribution
AN - SCOPUS:85109307480
T3 - ACM International Conference Proceeding Series
SP - 33
EP - 36
BT - 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021
PB - Association for Computing Machinery
T2 - 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021
Y2 - 29 June 2021 through 1 July 2021
ER -