Zobrazeno 1 - 10
of 661
pro vyhledávání: '"Lakshminarayanan, Vasudevan"'
There has been considerable progress in implicit neural representation to upscale an image to any arbitrary resolution. However, existing methods are based on defining a function to predict the Red, Green and Blue (RGB) value from just four specific
Externí odkaz:
http://arxiv.org/abs/2311.05146
Autor:
Phatak, Abhijeet, Mandal, Aditya Chandra, Balaji, Janarthanam Jothi, Lakshminarayanan, Vasudevan
Pupil reflex to variations in illumination and associated dynamics are of importance in neurology and ophthalmology. This is typically measured using a near Infrared (IR) pupillometer to avoid Purkinje reflections that appear when strong Visible Ligh
Externí odkaz:
http://arxiv.org/abs/2305.06425
Publikováno v:
In Journal of Theoretical Biology 7 September 2024 592
Publikováno v:
2021
Various ocular diseases and high myopia influence the anatomical reference point Foveal Avascular Zone (FAZ) dimensions. Therefore, it is important to segment and quantify the FAZs dimensions accurately. To the best of our knowledge, there is no auto
Externí odkaz:
http://arxiv.org/abs/2111.11419
Autor:
Jiménez-Gaona, Yuliana, Carrión-Figueroa, Diana, Lakshminarayanan, Vasudevan, José Rodríguez-Álvarez, María
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world,. In the past few Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few years, Artificial Intelligence (AI) based approaches have been used t
Externí odkaz:
http://arxiv.org/abs/2107.00115
We propose a new method for training convolutional neural networks which integrates reinforcement learning along with supervised learning and use ti for transfer learning for classification of glaucoma from colored fundus images. The training method
Externí odkaz:
http://arxiv.org/abs/2102.04400
Autor:
Singh, Amitojdeep, Sengupta, Sourya, Rasheed, Mohammed Abdul, Jayakumar, Varadharajan, Lakshminarayanan, Vasudevan
Deep learning methods for ophthalmic diagnosis have shown considerable success in tasks like segmentation and classification. However, their widespread application is limited due to the models being opaque and vulnerable to making a wrong decision in
Externí odkaz:
http://arxiv.org/abs/2101.12041
Autor:
Gaona, Yuliana Jiménez, Rodriguez-Alvarez, María José, Morató, Hector Espinó, Malla, Darwin Castillo, Lakshminarayanan, Vasudevan
Breast cancer is the most common invasive cancer in women, and the second main cause of death. Breast cancer screening is an efficient method to detect indeterminate breast lesions early. The common approaches of screening for women are tomosynthesis
Externí odkaz:
http://arxiv.org/abs/2101.09637