Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS)
  Benchmark   Lung cancer is one of the deadliest cancers, and in part its effective
diagnosis and treatment depend on the accurate delineation of the tumor.
Human-centered segmentation, which is currently the most common approach, is
subject to inter-observer variability, and is also time-consuming, considering
the fact that only experts are capable of providing annotations. Automatic and
semi-automatic tumor segmentation methods have recently shown promising
results. However, as different researchers have validated their algorithms
using various datasets and performance metrics, reliably evaluating these
methods is still an open challenge. The goal of the Lung-Originated Tumor
Segmentation from Computed Tomography Scan (LOTUS) Benchmark created through
2018 IEEE Video and Image Processing (VIP) Cup competition, is to provide a
unique dataset and pre-defined metrics, so that different researchers can
develop and evaluate their methods in a unified fashion. The 2018 VIP Cup
started with a global engagement from 42 countries to access the competition
data. At the registration stage, there were 129 members clustered into 28 teams
from 10 countries, out of which 9 teams made it to the final stage and 6 teams
successfully completed all the required tasks. In a nutshell, all the
algorithms proposed during the competition, are based on deep learning models
combined with a false positive reduction technique. Methods developed by the
three finalists show promising results in tumor segmentation, however, more
effort should be put into reducing the false positive rate. This competition
manuscript presents an overview of the VIP-Cup challenge, along with the
proposed algorithms and results.

36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci