Összesen 1 találat.


001-es BibID:BIBFORM101890
035-os BibID:(Scopus)85128326328
Első szerző:Bogacsovics Gergő (informatikus)
Cím:Enhancing CNNs through the use of hand-crafted features in automated fundus image classification / Gergo Bogacsovics, János Tóth, András Hajdu, Balázs Harangi
ISSN:1746-8094 1746-8108
Megjegyzések:Eye diseases such as diabetic retinopathy and diabetic macular edema pose a major threat in today's world as they affect a significant portion of the global population. Therefore, it is of utmost importance to develop robust solutions that can accurately detect these diseases, especially in their early stages. However, current methods, based on hand-crafted features devised by experts, are not sufficiently accurate. Several solutions have been proposed that use deep learning techniques to improve the performance of such systems. However, they ignore the highly valuable hand-crafted features, that could contribute to more accurate prediction, which underlines the significance of our research. In this paper, we revisit the problem of combining these hand-crafted features with the features extracted by neural networks with the objective of delivering more accurate predictions. We systematically study several state-of-the-art neural networks and methods and propose a number of ways to integrate them into our framework. We show that we arrived at the conclusion that it is possible to achieve significantly better results and outperform networks that do not consider hand-crafted features using the proposed methods.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
deep learning
diabetic macular edema
diabetic retinopathy
ensemble learning
hand-crafted features
screening systems
Megjelenés:Biomedical Signal Processing and Control. - 76 (2022), p. 1-10. -
További szerzők:Tóth János (1984-) (programtervező matematikus) Hajdu András (1973-) (matematikus, informatikus) Harangi Balázs (1986-) (programtervező matematikus)
Pályázati támogatás:ÚNKP-21?3-I-DE-99
Bolyai János Kutatási Ösztöndíj
Internet cím:Szerző által megadott URL
Intézményi repozitóriumban (DEA) tárolt változat
Rekordok letöltése1