Classification of pancreatic tumors using colored two-dimensional histograms from ultrasound endoscopic images

Yuji Takeuchi; Takeshi Hara; Xiangrong Zhou; Yuhei Iwasa; Takuji Iwashita; Masahito Shimizu

doi:10.1117/12.2625862

30 April 2022 Classification of pancreatic tumors using colored two-dimensional histograms from ultrasound endoscopic images

Yuji Takeuchi, Takeshi Hara, Xiangrong Zhou, Yuhei Iwasa, Takuji Iwashita, Masahito Shimizu

Author Affiliations +

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121771D (2022) https://doi.org/10.1117/12.2625862
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

The diagnosis using a time-intensity curve (TIC) is considered to be useful in the differentiation of pancreatic tumors. TIC is a graph that shows a contrast intensity of contrast-enhanced endoscopic ultrasonography over time. We propose a method to classify pancreatic tumors, which generates and uses two types of images representing a contrast effect from ultrasound endoscopic images. The first type is a two-dimensional histogram that adds information about a distribution of luminance values per frame to TIC which features a contrast effect over time. The second type is a frame with the highest average luminance value among all frames of each case. The frame featured a contrast enhancement pattern of the tumor. The features of the two images were extracted using deep learning. The two extracted features were combined by a concatenate layer. The combined feature outputs by a fully connected layer as the probability of pancreatic cancer. In this study, 131 cases with pancreatic tumors (pancreatic cancer: 86 cases, non-pancreatic cancer: 45 cases) were used. As a result of receiver operating characteristic analysis of the output probability, the area under the curve was 0.82, the sensitivity was 80.2%, and the specificity was 71.1%.

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Yuji Takeuchi, Takeshi Hara, Xiangrong Zhou, Yuhei Iwasa, Takuji Iwashita, and Masahito Shimizu "Classification of pancreatic tumors using colored two-dimensional histograms from ultrasound endoscopic images", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121771D (30 April 2022); https://doi.org/10.1117/12.2625862

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KEYWORDS

Tumors

Pancreatic cancer

Ultrasonography

Cancer

Endoscopy

Video

Image classification

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