Rezultati - Sripad Krishna Devalla
- Showing 1 - 4 results of 4
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Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images od Tan Hung Pham, Sripad Krishna Devalla, Aloysius Jian Feng Ang, Zhi Da Soh, Alexandre H. Thiéry, Craig Boote, Ching‐Yu Cheng, Michaël J. A. Girard, Victor Koh
Izdano 2020Artigo -
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DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images od Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Liang Zhang, Tin A. Tun, Xiaofei Wang, Shamira Perera, Leopold Schmetterer, Tin Aung, Craig Boote, Alexandre H. Thiéry, Michaël J. A. Girard
Izdano 2020Artigo -
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DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images od Sripad Krishna Devalla, Prajwal K. Renukanand, Bharathwaj Krishnaswami Sreedhar, Giridhar Subramanian, Liang Zhang, Shamira Perera, Jean Martial Mari, Khai Sing Chin, Tin A. Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiéry, Michaël J. A. Girard
Izdano 2018Artigo
Iskalna orodja:
Sorodne teme
Artificial intelligence
Computer science
Medicine
Ophthalmology
Optical coherence tomography
Computer vision
Glaucoma
Optic nerve
Segmentation
Biomedical engineering
Image segmentation
Nerve fiber layer
Radiology
Sørensen–Dice coefficient
Algorithm
Anatomy
Anterior Eye Segment
Contrast (vision)
Convolutional neural network
Cornea
Deep learning
Materials science
Optic disk
Optics
Outer plexiform layer
Pathology
Pattern recognition (psychology)
Physics
Retina
Retinal