Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Label-efficient Hybrid-supervised Learning for Medical Image
  Segmentation   Due to the lack of expertise for medical image annotation, the investigation
of label-efficient methodology for medical image segmentation becomes a heated
topic. Recent progresses focus on the efficient utilization of weak annotations
together with few strongly-annotated labels so as to achieve comparable
segmentation performance in many unprofessional scenarios. However, these
approaches only concentrate on the supervision inconsistency between strongly-
and weakly-annotated instances but ignore the instance inconsistency inside the
weakly-annotated instances, which inevitably leads to performance degradation.
To address this problem, we propose a novel label-efficient hybrid-supervised
framework, which considers each weakly-annotated instance individually and
learns its weight guided by the gradient direction of the strongly-annotated
instances, so that the high-quality prior in the strongly-annotated instances
is better exploited and the weakly-annotated instances are depicted more
precisely. Specially, our designed dynamic instance indicator (DII) realizes
the above objectives, and is adapted to our dynamic co-regularization (DCR)
framework further to alleviate the erroneous accumulation from distortions of
weak annotations. Extensive experiments on two hybrid-supervised medical
segmentation datasets demonstrate that with only 10% strong labels, the
proposed framework can leverage the weak labels efficiently and achieve
competitive performance against the 100% strong-label supervised scenario.

25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat