Search Results for author: Perry J. Pickhardt

Found 5 papers, 0 papers with code

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

no code implementations27 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.

Computed Tomography (CT) Lesion Classification

Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model

no code implementations14 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.

Image-to-Image Translation Pancreas Segmentation +1

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection

no code implementations22 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.

Image Reconstruction object-detection +2

Accurately identifying vertebral levels in large datasets

no code implementations28 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.

Instance Segmentation Semantic Segmentation

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentation

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.

Image Reconstruction object-detection +2

Cannot find the paper you are looking for? You can Submit a new open access paper.