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Integrating prostate specific antigen density biomarker into deep learning prostate mri lesion segmentation models
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230418. doi: 10.1109/isbi53787.2023.10230418. Epub 2023 Sep 1.ABSTRACTProstate cancer lesion segmentation in multi-parametric magnetic resonance imaging (mpMRI) is crucial for pre-biopsy diagnosis and targeted biopsy guidance. Deep convolution neural networks have been widely utilized for lesion segmentation. However, these methods fail to achieve a high Dice coefficient because of the large variations in lesion size and location within the gland. To address this problem, we integrate the clinically-meaningful prostate specific antigen density (PSAD)...
Source: Proceedings - International Symposium on Biomedical Imaging - December 13, 2023 Category: Radiology Authors: Jiayang Zhong Lawrence H Staib Rajesh Venkataraman John A Onofrey Source Type: research

Integrating prostate specific antigen density biomarker into deep learning prostate mri lesion segmentation models
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023. doi: 10.1109/isbi53787.2023.10230418. Epub 2023 Sep 1.ABSTRACTProstate cancer lesion segmentation in multi-parametric magnetic resonance imaging (mpMRI) is crucial for pre-biopsy diagnosis and targeted biopsy guidance. Deep convolution neural networks have been widely utilized for lesion segmentation. However, these methods fail to achieve a high Dice coefficient because of the large variations in lesion size and location within the gland. To address this problem, we integrate the clinically-meaningful prostate specific antigen density (PSAD) biomarker into the deep learnin...
Source: Proceedings - International Symposium on Biomedical Imaging - December 13, 2023 Category: Radiology Authors: Jiayang Zhong Lawrence H Staib Rajesh Venkataraman John A Onofrey Source Type: research

Successive subspace learning for cardiac disease classification with two-phase deformation fields from cine mri
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230746. doi: 10.1109/isbi53787.2023.10230746. Epub 2023 Sep 1.ABSTRACTCardiac cine magnetic resonance imaging (MRI) has been used to characterize cardiovascular diseases (CVD), often providing a noninvasive phenotyping tool. While recently flourished deep learning based approaches using cine MRI yield accurate characterization results, the performance is often degraded by small training samples. In addition, many deep learning models are deemed a "black box," for which models remain largely elusive in how models yield a prediction and how reliable th...
Source: Proceedings - International Symposium on Biomedical Imaging - November 30, 2023 Category: Radiology Authors: Xiaofeng Liu Fangxu Xing Hanna K Gaggin C-C Jay Kuo Georges El Fakhri Jonghye Woo Source Type: research