Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attention-effective multiple instance learning on weakly stem cell
  colony segmentation   The detection of induced pluripotent stem cell (iPSC) colonies often needs
the precise extraction of the colony features. However, existing computerized
systems relied on segmentation of contours by preprocessing for classifying the
colony conditions were task-extensive. To maximize the efficiency in
categorizing colony conditions, we propose a multiple instance learning (MIL)
in weakly supervised settings. It is designed in a single model to produce weak
segmentation and classification of colonies without using finely labeled
samples. As a single model, we employ a U-net-like convolution neural network
(CNN) to train on binary image-level labels for MIL colonies classification.
Furthermore, to specify the object of interest we used a simple post-processing
method. The proposed approach is compared over conventional methods using
five-fold cross-validation and receiver operating characteristic (ROC) curve.
The maximum accuracy of the MIL-net is 95%, which is 15 % higher than the
conventional methods. Furthermore, the ability to interpret the location of the
iPSC colonies based on the image level label without using a pixel-wise ground
truth image is more appealing and cost-effective in colony condition
recognition.

23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics