Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images
Post-prostatectomy radiotherapy requires accurate annotation of the prostate bed (PB), ie,
the residual tissue after the operative removal of the prostate gland, to minimize side effects …
the residual tissue after the operative removal of the prostate gland, to minimize side effects …
Asymmetrical multi-task attention u-net for the segmentation of prostate bed in ct image
Segmentation of the prostate bed, the residual tissue after the removal of the prostate gland,
is an essential prerequisite for post-prostatectomy radiotherapy but also a challenging task …
is an essential prerequisite for post-prostatectomy radiotherapy but also a challenging task …
Dynamic cross-task representation adaptation for clinical targets co-segmentation in CT image-guided post-prostatectomy radiotherapy
Adjuvant and salvage radiotherapy after radical prostatectomy requires precise delineations
of prostate bed (PB), ie, the clinical target volume, and surrounding organs at risk (OARs) to …
of prostate bed (PB), ie, the clinical target volume, and surrounding organs at risk (OARs) to …
HF-UNet: learning hierarchically inter-task relevance in multi-task U-net for accurate prostate segmentation in CT images
Accurate segmentation of the prostate is a key step in external beam radiation therapy
treatments. In this paper, we tackle the challenging task of prostate segmentation in CT …
treatments. In this paper, we tackle the challenging task of prostate segmentation in CT …
HD-Net: hybrid discriminative network for prostate segmentation in MR images
Efficient and accurate segmentation of prostate gland facilitates the prediction of the
pathologic stage and treatment response. Recently, deep learning methods have been …
pathologic stage and treatment response. Recently, deep learning methods have been …
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
A Balagopal, D Nguyen, H Morgan, Y Weng… - Medical image …, 2021 - Elsevier
In post-operative radiotherapy for prostate cancer, precisely contouring the clinical target
volume (CTV) to be irradiated is challenging, because the cancerous prostate gland has …
volume (CTV) to be irradiated is challenging, because the cancerous prostate gland has …
Male pelvic CT multi-organ segmentation using synthetic MRI-aided dual pyramid networks
The delineation of the prostate and organs-at-risk (OARs) is fundamental to prostate
radiation treatment planning, but is currently labor-intensive and observer-dependent. We …
radiation treatment planning, but is currently labor-intensive and observer-dependent. We …
Ensemble learning and tensor regularization for cone‐beam computed tomography‐based pelvic organ segmentation
Purpose Cone‐beam computed tomography (CBCT) is a widely accessible low‐dose
imaging approach compatible with on‐table patient anatomy observation for radiotherapy …
imaging approach compatible with on‐table patient anatomy observation for radiotherapy …
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN
We propose a learning-based method to automatically segment prostate and its dominant
intraprostatic lesions (DILs) from positron emission tomography (PET)/computed …
intraprostatic lesions (DILs) from positron emission tomography (PET)/computed …
3D APA-Net: 3D adversarial pyramid anisotropic convolutional network for prostate segmentation in MR images
Accurate and reliable segmentation of the prostate gland using magnetic resonance (MR)
imaging has critical importance for the diagnosis and treatment of prostate diseases …
imaging has critical importance for the diagnosis and treatment of prostate diseases …