81 citations
- Agency for Science, Technology and ResearchSG6 papers
- National University of SingaporeSG6 papers
- Institute of High Performance ComputingSG4 papers
- Singapore National Eye CenterSG4 papers
- Bioinformatics InstituteSG3 papers
- Image and Pervasive Access LaboratorySG3 papers
- Nanyang Technological UniversitySG2 papers
- Southern University of Science and TechnologyCN2 papers
- Tokyo Metropolitan UniversityJP2 papers
- Aravind Eye HospitalIN1 paper
- Baidu (China)CN1 paper
- Beth Israel Deaconess Medical CenterUS1 paper
8 papers
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
Xiaoyu Pan, Yang Bai, Ke Zou +5
Medical Large Language Models (MLLMs) play a crucial role in ophthalmic diagnosis, holding significant potential to address vision-threatening diseases. However, their accuracy is…
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain
Guang-Bin Huang, M. Brandon Westover, Eng-King Tan +11
Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely recognized as one of the mos…
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network
Haofeng Liu, Heng Li, Huazhu Fu +4
As an economical and efficient fundus imaging modality, retinal fundus images have been widely adopted in clinical fundus examination. Unfortunately, fundus images often suffer fro…
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
Researchers working on computational analysis of Whole Slide Images (WSIs) in histopathology have primarily resorted to patch-based modelling due to large resolution of each WSI. T…
Machine-Learning Study using Improved Correlation Configuration and Application to Quantum Monte Carlo Simulation
Yusuke Tomita, Kenta Shiina, Yutaka Okabe +1
We use the Fortuin-Kasteleyn representation based improved estimator of the correlation configuration as an alternative to the ordinary correlation configuration in the machine-lea…
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning
Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda +16
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 al…