Aug 22, 2013 · We show that our proposed technique works well and leads to significantly improved performance compared to a single one-class predictor as well ...
Abstract—Thermography provides an interesting modality for diagnosing breast cancer as it is a non-contact, non-invasive and.
We show that our proposed technique works well and leads to significantly improved performance compared to a single one-class predictor as well as compared to ...
In addition, we address the problem of class imbalance that often occurs in medical data analysis, by training base classifiers on balanced object subspaces.
Our proposed hybrid cost-sensitive ensemble can facilitate a highly accurate early diagnostic of breast cancer based on thermogram features.
Missing: one- | Show results with:one-
In this work we propose a novel diversity measure which can be applied to a set of one-class classifiers. Additionally we propose a classifier fusion model ...
Breast cancer is the most commonly diagnosed form of cancer in women. Thermography, which uses cam- eras with sensitivities in the thermal infrared, ...
We extract image features that describe bilateral differences of the breast regions in the thermogram, and then feed these features to an ensemble classifier.
Missing: one- | Show results with:one-
Jan 18, 2021 · Combining one-class classifiers for imbalanced classification of breast thermogram features. In Proceedings of the 2013 Fourth International ...
Sep 26, 2018 · 1 Excerpt. Combining one-class classifiers for imbalanced classification of breast thermogram features · B. KrawczykG. SchaeferMichal Wozniak.