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The Magnetic Resonance Imaging (MRI) technology is a type of scan that allows the visualization of several slices, framing layer-by-layer and a picture taken of each slice. This technology can help diagnose the lesions' progress across the set of slices. In our annotations dataset, we need to provide complete information regarding the existence of injuries in all frames that a lesion is presented. Therefore, we can not accept frames where there is evidence of lesion, but the clinician passed through it missing the lesion annotation.
With this issue, our goal is to surpass the problem of misannotation a frame on a set of slices. The idea is, whenever the system starts to receive at, for instance, slice s = 121 and finish at the slice s = 134 it needs to guarantee that ALL slices between those are annotated. In the following image (lucidchart.com), we can see if the slice s = 128 is not annotated, the system will trigger a warning when the clinician press the saving button.
In short, there is the (high) probability of a clinician to jump between slices. For that reason, we need to guarantee that the system warns the clinician to fix that problem. The solution to it is, each time a clinician press the saving button or closes (the behavior is the same as the last) the respective patient, we will warn the clinician.
This issue was postponed from the 1.2.1-beta milestone to the 1.3.0-beta milestone until further decision. Because of an information lack, we do not know when and where should this issue be covered during our project development.
The Magnetic Resonance Imaging (MRI) technology is a type of scan that allows the visualization of several slices, framing layer-by-layer and a picture taken of each slice. This technology can help diagnose the lesions' progress across the set of slices. In our annotations dataset, we need to provide complete information regarding the existence of injuries in all frames that a lesion is presented. Therefore, we can not accept frames where there is evidence of lesion, but the clinician passed through it missing the lesion annotation.
With this issue, our goal is to surpass the problem of misannotation a frame on a set of slices. The idea is, whenever the system starts to receive at, for instance, slice
s = 121
and finish at the slices = 134
it needs to guarantee that ALL slices between those are annotated. In the following image (lucidchart.com), we can see if the slices = 128
is not annotated, the system will trigger a warning when the clinician press the saving button.In short, there is the (high) probability of a clinician to jump between slices. For that reason, we need to guarantee that the system warns the clinician to fix that problem. The solution to it is, each time a clinician press the saving button or closes (the behavior is the same as the last) the respective patient, we will warn the clinician.
Related Issues
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