How to use Mask-RCNN Classified nuclei

[xiaoshuomin]

Mask-RCNN is ofen used in detection and segmentation，but it is rarely used for classification.please tell me how to modify the model so that Mask-RCNN can be used for classification tasks?Thanks

[simongraham]

Hi. I am not sure why you are asking about Mask-RCNN, as this is the HoVer-Net repo, but I can answer your question anyway.

In fact Mask-RCNN is purposely built for multi-class segmentation. Have a look at the original paper here and you will see that. The method will produce a set of predicted bounding boxes and then for each box, it will predict the class and produce the segmentation mask. Class prediction is done using a series of fully connected layers and so can easily be adapted to produce as many classes as desired.

[xiaoshuomin]

I am trying to reproduce the results of Mask-RCNN in the paper. I think I know what to do. Thank you for your answer

[simongraham]

Please also take a look at issue #40

[xiaoshuomin]

Hi, I am reproducing your work in your paper.Thank you for your previous answer,but I still have some questions.Instance segmentation for the nuclear type classification tasks use the notion of distance(6 pixels at 20 × or 12 pixels at 40 × ) to determine whether nuclei have been detected. What indicator is used for the detection method of nuclear classification task to determine whether the nucleus has been detected?