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xiaomengyc / Few-Shot-Semantic-Segmentation-Papers

Few Shot Semantic Segmentation Papers
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Papers to add (medical few shot image segmentation) #19

Open plutonium-239 opened 2 years ago

plutonium-239 commented 2 years ago

I would like to ask if categorizing all the papers/adding an extra column regarding type of supervision(supervised/semi-supervised/self-supervised/weakly-supervised/semi-weakly-supervised) is possible, would be very helpful since this is the most well-maintained list for FSS.

Here are 3 papers to add (taken from https://github.com/HiLab-git/SSL4MIS)

  1. PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning arXiv, Semantic Scholar 26 Aug 2021, IEEE BIBM 2021
  2. SSA-Net: Spatial Self-Attention Network for COVID-19 Pneumonia Infection Segmentation with Semi-supervised Few-shot Learning ScienceDirect 22 Apr 2022, Elsevier Medical Image Analysis (Journal)
  3. FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection ScienceDirect 5 Jan 2021, Elsevier Knowledge-Based Systems (Journal)
plutonium-239 commented 2 years ago

@xiaomengyc (pinging because of inactivity)

xiaomengyc commented 1 year ago

The settings of medical few-shot image segmentation are different from the methods in the main paper list. I feel it is better to keep the main list on a specific problem so as to help the readers find what they what to compare more quickly. Anyway, thanks for your reminder! I'd like to remain this issue open and if someone what to know more about medical images, they can find it here. Best

smallkaka commented 1 year ago

thank u