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Specifying the number of discs to detect using --ndiscs #1

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NathanMolinier opened this issue Mar 20, 2023 · 1 comment
Open

Specifying the number of discs to detect using --ndiscs #1

NathanMolinier opened this issue Mar 20, 2023 · 1 comment
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enhancement New feature or request

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@NathanMolinier
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NathanMolinier commented Mar 20, 2023

Context

In this paper, the hourglass network was trained on multiple subject samples with a variable number of intervertebral discs : between 7 and 11 discs.

Issue

Therefore, when more discs are present in the image, the hourglass is unable to identify them, leading to false negative detections.

Parameter

The parameter --ndiscs used to specify the maximum number of class (number of discs) we want the hourglass to detect during training is therefore a key argument.

@NathanMolinier NathanMolinier changed the title Specifying the number of discs to detect using --njoints Specifying the number of discs to detect using --ndiscs Mar 21, 2023
@NathanMolinier NathanMolinier added the enhancement New feature or request label Mar 21, 2023
@NathanMolinier
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Creating a class for each disc seems to be the solution, however, this is only possible if each discs are represented in the training dataset

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