Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin
  Lesion Detection in Highly Imbalanced Datasets   Melanoma is a fatal skin cancer that is curable and has dramatically
increasing survival rate when diagnosed at early stages. Learning-based methods
hold significant promise for the detection of melanoma from dermoscopic images.
However, since melanoma is a rare disease, existing databases of skin lesions
predominantly contain highly imbalanced numbers of benign versus malignant
samples. In turn, this imbalance introduces substantial bias in classification
models due to the statistical dominance of the majority class. To address this
issue, we introduce a deep clustering approach based on the latent-space
embedding of dermoscopic images. Clustering is achieved using a novel
center-oriented margin-free triplet loss (COM-Triplet) enforced on image
embeddings from a convolutional neural network backbone. The proposed method
aims to form maximally-separated cluster centers as opposed to minimizing
classification error, so it is less sensitive to class imbalance. To avoid the
need for labeled data, we further propose to implement COM-Triplet based on
pseudo-labels generated by a Gaussian mixture model. Comprehensive experiments
show that deep clustering with COM-Triplet loss outperforms clustering with
triplet loss, and competing classifiers in both supervised and unsupervised
settings.

20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc