A5074457509- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Radiation Dose and Imaging
- Astrophysics and Star Formation Studies
- Retinal and Optic Conditions
- Medical Imaging Techniques and Applications
- Retinal Diseases and Treatments
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
Chinese University of Hong Kong
2022-2024
Peter MacCallum Cancer Centre
2004
To examine the level of agreement among observers regarding changes between serial images bone metastases.Thirty-five pairs X-rays and 30 scans were selected from files patients with breast cancer involving skeleton. All in a pair same site had been taken at least 12 weeks apart. Thirteen radiologists 14 nuclear medicine physicians examined X-ray scan pairs, respectively. Each assessed whether sequential films represented improvement, stability or worsening. Inter-observer was analysed using...
Abstract From data collection to photometric fitting and analysis of white dwarfs, generating a dwarf luminosity function requires numerous astrophysical, mathematical, computational domain knowledge. The steep learning curve makes it difficult enter the field, often individuals have reinvent wheel perform identical reduction tasks. We gathered wide range publicly available cooling models synthetic photometry provide toolkit that allows (i) visualization various models, (ii) with or without...
Background/aims To evaluate the diagnostic accuracy of spectral-domain optical coherence tomography (SD OCT) combined with OCT angiography (OCTA) for myopic macular neovascularisation (MNV) activity. Methods Both eyes patients MNV diagnosed fluorescein (FA), SD and OCTA were assessed by unmasked investigators. The images deidentified randomised before graded masked investigators, who determined presence active using together without FA alone, respectively. findings investigators compared...