"visually distinguishable" is correct and usable in written English.
It can be used to refer to an object or element that can be differentiated visually due to differences in size, color, shape, etc. For example, "The different shapes of the two pieces of furniture made them visually distinguishable."
Color intensity on the test line was visually distinguishable from that of the negative sample within 5 min, with the visual detection limit of 1 ng ml−1 in phosphate-buffered saline.
The upward branching of such discharges makes them visually distinguishable from their "right-side-up" counterparts, giving the impression of a cloud-to-ground lightning flash that is upside down.
Two visually distinguishable level changes occur in this sequence.
Moreover, we observe that attributes are predictable as long as they are visually distinguishable.
The electron-propelled model will be visually distinguishable by its LED headlights and C-shaped LED running lights.
Because the localisation and mapping process relies only on computer vision based algorithms, running the calibration step in a properly lit physical environment, which provides enough visually distinguishable patterns, is a crucial task.
The resulting "anthropomorphic digital phantoms" provide much more realistic conditions than conventional phantom measurements (which typically use regular shapes and homogeneous tracer distributions in target and background) and are visually not distinguishable from actual patient data.
The sets were separated by 7.5 cm, and were visually easily distinguishable from each other.
In the Figures, the true CIFs are visually hardly distinguishable from the average of the Aalen-Johansen estimators from each simulation study.
Since these EEG segments have distinguishable (visually identifiable) patterns, it is expected to obtain higher accuracy than long EEG recordings, which possibly include artifacts and/or unclear EEG patterns.
The synthetic data set with the highest level of noise may represent an extreme case in practice, as many of the clusters in this data set are not distinguishable visually.
