Basic study for detection of nodules in chest radiography using contrast enhancement and faster R-CNN

Akari Matsushima; Tai-Been Chen; Takahide Okamoto; Shih-Yen Hsu; Nana Itayama; Toru Ishibashi; Kazuyuki Fukuda

doi:10.1117/12.2611391

4 April 2022 Basic study for detection of nodules in chest radiography using contrast enhancement and faster R-CNN

Akari Matsushima, Tai-Been Chen, Takahide Okamoto, Shih-Yen Hsu, Nana Itayama, Toru Ishibashi, Kazuyuki Fukuda

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 1203144 (2022) https://doi.org/10.1117/12.2611391
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

In this study, we applied image processing of combined contrast limited adaptive histogram equalization (CLAHE) and wavelet de-noise processing in Faster R-CNN with the aim of improving the detection accuracy of nodules in images obtained from chest radiographs. The CNN network was selected between VGG-16 and ResNet50 based on the accuracy of image evaluation. Gradient-weighted class activation mapping (Grad-CAM) was used to verify the observation areas that contributed to the network classification. We then verified the detection accuracy for 53 new images of clinically confirmed nodules. In the image evaluation, the detection accuracy was higher with ResNet50. However, verification of the area of interest in the original images by Grad-CAM revealed that 36.0% of the images focused on areas other than lesions. Lesion detection was then attempted using Faster R-CNN in 104 clinical images. When the number of anchors in the verification was set to 30, the highest detection accuracy was 65.5%. Image processing performed with combined CLAHE and wavelet de-noise processing with Faster R-CNN achieved an accuracy of 76.4% for detecting of nodules in images obtained from chest radiographs.

Citation Download Citation

Akari Matsushima, Tai-Been Chen, Takahide Okamoto, Shih-Yen Hsu, Nana Itayama, Toru Ishibashi, and Kazuyuki Fukuda "Basic study for detection of nodules in chest radiography using contrast enhancement and faster R-CNN", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203144 (4 April 2022); https://doi.org/10.1117/12.2611391

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