The proposed automatic segmentation method can accurately and simultaneously segment both the prostate and DILs. The intended future use for this algorithm ...
May 17, 2022 · In this study, a 3D cascaded scoring convolutional neural network is proposed to automatically segment the prostate and DILs from MRI. Methods ...
May 9, 2022 · In this study, a 3D cascaded scoring convolutional neural network is proposed to automatically segment the prostate and DILs from MRI. Methods ...
Feb 15, 2021 · In this study, a learning-based method using mask R-CNN is proposed to automatically segment prostate and its dominant intraprostatic ...
In this study, a learning-based method using mask R-CNN is proposed to automatically segment prostate and its dominant intraprostatic lesions (DILs) from ...
In this study, a 3D cascaded scoring convolutional neural network is proposed to automatically segment the prostate and DILs from MRI. Methods and materials ...
This paper presents a novel strategy that employs Generative Adversarial Networks (GANs) to augment data in the skin lesion segmentation task, which is a ...
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Apr 16, 2022 · In this study, a 3D cascaded scoring convolutional neural network is proposed to automatically segment the prostate and DILs from MRI. Methods ...
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May 15, 2024 · This paper presents a deep-learning framework to segment and identify small- to intermediate-sized prostate lesions. Of course, integrating deep ...
May 15, 2024 · In brief. This study presents ProLesA-Net, a deep-learning algorithm tailored for the segmentation of prostate lesions in.