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Abstract #4357

Breast Tumor Segmentation using U-Net with ResNet34

Yunkyoung Jun1, Jiwoo Jeong1, Seokha Jin1, Noehyun Myung1, Jimin Lee2, and Hyungjoon Cho1
1BME, UNIST, Ulsan, Korea, Republic of, 2Nuclear Engineering, UNIST, Ulsan, Korea, Republic of

Synopsis

Keywords: Machine Learning/Artificial Intelligence, AnimalsThe proposed research implemented an automatic tumor segmentation application on an orthotopic breast tumor model. This application can segment the tumors accurately and monitor tumor growth and the therapeutic effect of Doxorubicin for treatment. Also, the outputs from the application can reconstruct into 3D rendering and offer the visualization of shape and volume. As a result, the application can be applied to orthotopic breast tumor model research.

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Keywords