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Found 5 papers, 3 papers with code
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
We investigate three methodological pitfalls: (1) violation of independence assumption, (2) model evaluation with an inappropriate performance indicator or baseline for comparison, and (3) batch effect.
Urine Microscopic Image Dataset
To alleviate the need for urine datsets, we prepare our urine sediment microscopic image (UMID) dataset comprising of around 3700 cell annotations and 3 categories of cells namely RBC, pus and epithelial cells.
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Containment, the key strategy in quickly halting an epidemic, requires rapid identification and quarantine of the infected individuals, determination of whom they have had close contact with in the previous days and weeks, and decontamination of locations the infected individual has visited.
Cryptography and Security Computers and Society Distributed, Parallel, and Cluster Computing
Split Learning for collaborative deep learning in healthcare
Shortage of labeled data has been holding the surge of deep learning in healthcare back, as sample sizes are often small, patient information cannot be shared openly, and multi-center collaborative studies are a burden to set up.
X-ray Computed Tomography Through Scatter
In current Xray CT scanners, tomographic reconstruction relies only on directly transmitted photons.
