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Health and Technology
Erschienen in: Health and Technology 6/2022

13.10.2022 | Original Paper

A New method for promote the performance of deep learning paradigm in diagnosing breast cancer: improving role of fusing multiple views of thermography images

verfasst von: Mahsa Ensafi, Mohammad Reza Keyvanpour, Seyed Vahab Shojaedini

Erschienen in: Health and Technology | Ausgabe 6/2022

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Abstract

Purpose

Breast cancer is one of the deadliest cancers among women worldwide which its early detection may significantly reduce its mortality rate. Thermgraphy is a new, non-invasive, non-painful, and low-cost modality that detects abnormalities by detecting heat from the breast surface.

Method

Recent research has applied deep learning to early breast cancer diagnosis via thermography, using only the frontal view of thermograms. We combine several views of thermal images to improve the performance of pre-trained deep learning architectures in this article. This goal is achieved by combining frontal-45 data with lateral-45 and lateral45 thermograms to construct a detection model that utilizes transfer learning.

Result

Research in this area uses the Database for Mastology Research (DMR) with infrared images. In this study, transfer based deep learning methods are demonstrated to be effective in fusing several views of thermograms to diagnose breast cancer in a manner that can result in a sensitivity increase of 2-15 percent and a specificity increase of 2-30 percent compared to other deep learning-based or handcrafted schemes.

Conclusion

Using multiple views of thermograms and transfer learning, this paper proposes a method for improving breast cancer diagnosis. Using methods based on deep learning and methods based on hand-crafted features, we evaluated the performance of the proposed model. Using the obtained results as a basis for future research, the proposed design can be improved and developed as a valid approach in interpreting breast thermography images.
Vorheriger Artikel Regulatory Considerations on the use of Machine Learning based tools in Clinical Trials
Nächster Artikel Integration of artificial intelligence into nursing practice

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Metadaten
Titel
A New method for promote the performance of deep learning paradigm in diagnosing breast cancer: improving role of fusing multiple views of thermography images
verfasst von
Mahsa Ensafi
Mohammad Reza Keyvanpour
Seyed Vahab Shojaedini
Publikationsdatum
13.10.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Health and Technology / Ausgabe 6/2022
Print ISSN: 2190-7188
Elektronische ISSN: 2190-7196
DOI
https://doi.org/10.1007/s12553-022-00702-6

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