… The latest development in machine learning-based semantic segmentation … automated
assessments of street view images, eliminating the need for extensive manual processing. This …

… Machine learning in medical imaging before and after introduction of deep learning [J]. J …
echocardioimagedata images by novices using a deep learning based image guidance …

… is mainly based on human eye recognition, of which … Automated crack evaluation of a high-rise
bridge pier using a ring… and measurement of bridge cracks based on image processing[D]…

… in medical image processing have led to its widespread use and contributed to … measures
eye motion and ocular tremor. Clinicians and scientists believe that eye and head movement …

… Therefore, this study aims to develop a deep learning-based … for contour analysis to improve
the automation, accuracy, … frequency using digital image processing and texture analysis. …

… deep learningbased approaches in soybean yield estimation … that keeps an eye out for
symptoms of illness on the crops using a … ACIS is an automated crop irrigation system designed to …

… medical image analysis, and hyperspectral image processing. … into traditional and deep
learning-based methods according to … An unsupervised-learning-based approach for automated …

… , but superior to automated quantification in terms of corneal … shifted from the application
of deep learning and assisted … diagnostic imaging tools and deep learning-based peripheral …

… Department of Defense’s automation of key business processes… data statistical analysis
and image processing technologies, … AI deep learning based on a brain-like computing neural …

… A method of measuring eye movement using a scleral search coil in a magnetic field.
IEEE Transactions on Bio-Medical Electronics, 1963, 10(4): 137-145 doi: 10.1109/TBMEL.…