no code implementations • 7 Jan 2023 • Fabian A. Braeu, Thanadet Chuangsuwanich, Tin A. Tun, Shamira A. Perera, Rahat Husain, Aiste Kadziauskiene, Leopold Schmetterer, Alexandre H. Thiéry, George Barbastathis, Tin Aung, Michaël J. A. Girard
In both approaches, we observed that structural changes were more prominent in the superior and inferior quadrant of the ONH, particularly in the RNFL, the prelamina, and the LC.
no code implementations • 14 Apr 2022 • Fabian A. Braeu, Alexandre H. Thiéry, Tin A. Tun, Aiste Kadziauskiene, George Barbastathis, Tin Aung, Michaël J. A. Girard
To this end, we aimed: (1) To compare the performance of two relatively recent geometric deep learning techniques in diagnosing glaucoma from a single OCT scan of the ONH; and (2) To identify the 3D structural features of the ONH that are critical for the diagnosis of glaucoma.
no code implementations • 18 Dec 2021 • Michaël J. A. Girard, Satish K. Panda, Tin Aung Tun, Elisabeth A. Wibroe, Raymond P. Najjar, Aung Tin, Alexandre H. Thiéry, Steffen Hamann, Clare Fraser, Dan Milea
At first, a deep learning algorithm was developed using 984 B-scans (from 130 eyes) in order to identify: major neural/connective tissues, and ODD regions.
no code implementations • 17 Dec 2020 • Satish K. Panda, Haris Cheong, Tin A. Tun, Sripad K. Devella, Ramaswami Krishnadas, Martin L. Buist, Shamira Perera, Ching-Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michaël J. A. Girard
We argue this is because the vast amount of information available in a 3D OCT scan of the ONH has not been fully exploited.
no code implementations • 6 Oct 2020 • Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich, Tin A. Tun, Xiaofei Wang, Tin Aung, Leopold Schmetterer, Martin L. Buist, Craig Boote, Alexandre H. Thiéry, Michaël J. A. Girard
Speckle noise and retinal shadows within OCT B-scans occlude important edges, fine textures and deep tissues, preventing accurate and robust diagnosis by algorithms and clinicians.