Automated detection of malaria parasites using convolutional neural networks
Researchers from Imperial College London recently focused on developing an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and image archiving.
Automated segmentation of cervical anatomy to interrogate preterm birth
Researchers from Columbia University are finding ways to develop a computational tool developed to better segment the entire cross-sectional area of the cervix tissue from 2D transvaginal ultrasounds, enabling the creation of a generalizable, cervical-features-based prediction model of PTB risk.
Evaluating terrain-dependent performance for martian frost detection in visible satellite observations
Researchers from Jet Propulsion Labs recently studied seasonal frosting and defrosting on the surface of Mars which is hypothesized to drive both climate processes and the formation and evolution of geomorphological features such as gullies.
The impact of artificial intelligence assessment on diabetic retinopathy
Researchers from the University of Rwanda studied the recent advances in computer-based analysis using artificial intelligence (AI), which present a promising opportunity to test and refine automatic grading of diabetic retinal images for screening.