The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage

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.

Are Macula or Optic Nerve Head Structures better at Diagnosing Glaucoma? An Answer using AI and Wide-Field Optical Coherence Tomography

no code implementations • 13 Oct 2022 • Charis Y. N. Chiang, Fabian Braeu, Thanadet Chuangsuwanich, Royston K. Y. Tan, Jacqueline Chua, Leopold Schmetterer, Alexandre Thiery, Martin Buist, Michaël J. A. Girard

Purpose: (1) To develop a deep learning algorithm to automatically segment structures of the optic nerve head (ONH) and macula in 3D wide-field optical coherence tomography (OCT) scans; (2) To assess whether 3D macula or ONH structures (or the combination of both) provide the best diagnostic power for glaucoma.

OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head

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.

SSIM

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning

no code implementations • 22 Feb 2020 • Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Liang Zhang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin A. Tun, Ching-Yu Cheng, Leopold Schmetterer, Shamira Perera, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard

Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur along with the progression of glaucoma.

Segmentation

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images

no code implementations • 7 Oct 2019 • Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Zhang Liang, Tin Aung Tun, Xiaofei Wang, Shamira Perera, Leopold Schmetterer, Aung Tin, Craig Boote, Alexandre H. Thiery, Michael J. A. Girard

Image quality was assessed qualitatively (for artifacts) and quantitatively using the intralayer contrast: a measure of shadow visibility ranging from 0 (shadow-free) to 1 (strong shadow) and compared to compensated images.

Denoising Generative Adversarial Network +3

Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter

no code implementations • 13 Oct 2018 • Petteri Teikari, Raymond P. Najjar, Leopold Schmetterer, Dan Milea

In this work, we will review the existing and future directions for "active acquisition" embedded deep learning, leading to as high quality images with little intervention by the human operator.

A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head

no code implementations • 27 Sep 2018 • Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira Perera, Tin A. Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiery, Michael J. A. Girard

For all the ONH tissues, the mean CNR increased from $3. 50 \pm 0. 56$ (single-frame) to $7. 63 \pm 1. 81$ (denoised).