title: For multi instance segmentation tasks like cell segmentation, would using a mask or bounding box be useful?
body: <p>While dealing with image segmentation tasks using models like the UNet family(Unet++, double UNet, ResUNet..), most of the tasks were to find one specific instance, meaning the mask was a single object like detecting the left heart from the Ultra Sound medical images.</p>
  <p>However this time, I am currently handling a cell segmentation task with a lot of instances to segment as a mask. (One class though)</p>
  <p>I am curious if using a RoI generating model like MaskRCNN would be better this case than a UNet like network.</p>
  <p>Also, is it better to use the pretrained network like pytorch segmentation models? (I used to make and train all my models from scratch.)</p>
  <p>Thank you.</p>