no code implementations • 27 May 2022 • Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt
The outcomes of this modeling approach reached the score of area under the curve of the receiver operating characteristics of 94. 2 % for the polyps and 87. 4 % for the nodules, resulting in an average gain of 5 % to 30 % over ten existing state-of-the-art lesion classification methods.
no code implementations • 14 Jul 2020 • Yingying Zhu, You-Bao Tang, Yu-Xing Tang, Daniel C. Elton, Sung-Won Lee, Perry J. Pickhardt, Ronald M. Summers
We expect the utility of our framework will extend to other problems beyond segmentation due to the improved quality of the generated images and enhanced ability to preserve small structures.
no code implementations • 22 May 2020 • Yingying Zhu, Daniel C. Elton, SungWon Lee, Perry J. Pickhardt, Ronald M. Summers
In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis.
no code implementations • 28 Jan 2020 • Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
We next developed an algorithm which performs iterative instance segmentation and classification of the entire spine with a 3D U-Net.
no code implementations • MIDL 2019 • Yingying Zhu, Daniel C. Elton, SungWon Lee, Perry J. Pickhardt, Ronald M. Summers
In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis.