Research graph
References from A Hybrid Residual–Swin Transformer Design with Attention for Prostate Cancer Segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1177/1533034618775530
10.1177/1533034618775530 · External reference
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
10.1007/s11571-020-09587-5 · 2020 · External reference
Unresolved reference
External reference
Prostate cancer grading: Gland segmentation and structural features
10.1016/j.patrec.2011.10.001 · 2012 · External reference
Updates of prostate cancer from the 2022 World Health Organization classification of the urinary and male genital tumors
2023 · External reference
10.1007/978-3-319-78646-9
10.1007/978-3-319-78646-9 · External reference
The role of the prostate in male fertility, health and disease
10.1038/nrurol.2016.89 · 2016 · External reference
Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study
10.1016/s0140-6736(16)32401-1 · 2017 · External reference
10.1038/s41572-020-00243-0
10.1038/s41572-020-00243-0 · External reference
Unresolved reference
External reference
Prostate cancer incidence and mortality: global status and temporal trends in 89 countries from 2000 to 2019
10.3389/fpubh.2022.811044 · 2022 · External reference
Racial disparity in prostate cancer in the African American population with actionable ideas and novel immunotherapies
10.1002/cnr2.1340 · 2021 · External reference
10.1038/s41416-020-01038-6
10.1038/s41416-020-01038-6 · External reference
10.3390/molecules27175730
10.3390/molecules27175730 · External reference
10.1007/s12325-018-0766-1
10.1007/s12325-018-0766-1 · External reference
10.1016/j.media.2013.12.002
10.1016/j.media.2013.12.002 · External reference
Prostate cancer detection using residual networks
10.1007/s11548-019-01967-5 · 2019 · External reference
10.1117/12.3006812
10.1117/12.3006812 · External reference
End-to-end prostate cancer detection in bpMRI via 3D CNNs: effects of attention mechanisms, clinical priori and decoupled false positive reduction
10.1016/j.media.2021.102155 · 2021 · External reference
10.1007/978-3-030-26763-6_46
10.1007/978-3-030-26763-6_46 · External reference
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images
10.1016/j.compmedimag.2024.102326 · 2024 · External reference
Segmentation assisted Prostate Cancer Grading with Multitask Collaborative Learning
10.1016/j.patrec.2024.04.023 · 2024 · External reference
Gradient bald vulture optimization enabled multi-objective Unet++ with DCNN for prostate cancer segmentation and detection
10.1016/j.bspc.2023.105474 · 2024 · External reference
10.2967/jnumed.123.266005
10.2967/jnumed.123.266005 · External reference
10.1007/978-3-031-72744-3_21
10.1007/978-3-031-72744-3_21 · External reference
Interactive Cascaded Network for Prostate Cancer Segmentation from Multimodality MRI with Automated Quality Assessment
10.3390/bioengineering11080796 · 2024 · External reference
Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy
10.1371/journal.pone.0308181 · 2024 · External reference
A convolutional neural network–based system for fully automatic segmentation of whole-body [68Ga] Ga-PSMA PET images in prostate cancer
10.1007/s00259-023-06555-z · 2024 · External reference
10.1007/s00261-024-04301-z
10.1007/s00261-024-04301-z · External reference
Prostate cancer of magnetic resonance imaging automatic segmentation and detection of based on 3D-Mask RCNN
10.1016/j.jrras.2023.100636 · 2023 · External reference
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model
10.1109/access.2023.3326882 · 2023 · External reference
Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images
10.1038/s41598-022-06730-6 · 2022 · External reference
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
10.1016/j.media.2021.102347 · 2022 · External reference
Cross-modal prostate cancer segmentation via self-attention distillation
2021 · External reference
Unet based xception model for prostate cancer segmentation from MRI images
10.1007/s11042-021-11334-9 · 2022 · External reference
A deep learning-based automated CT segmentation of prostate cancer anatomy for radiation therapy planning-a retrospective multicenter study
10.3390/diagnostics10110959 · 2020 · External reference
A bi-attention adversarial network for prostate cancer segmentation
10.1109/access.2019.2939389 · 2019 · External reference
10.1007/978-3-030-04239-4_46
10.1007/978-3-030-04239-4_46 · External reference
Unresolved reference
External reference
Racial disparity in prostate cancer in the African American population with actionable ideas and novel immunotherapies
10.1002/cnr2.1340 · ExternalCitation · doi-reference
10.1007/978-3-030-04239-4_46
10.1007/978-3-030-04239-4_46 · ExternalCitation · doi-reference
10.1007/978-3-030-26763-6_46
10.1007/978-3-030-26763-6_46 · ExternalCitation · doi-reference
10.1007/978-3-031-72744-3_21
10.1007/978-3-031-72744-3_21 · ExternalCitation · doi-reference
10.1007/978-3-319-78646-9
10.1007/978-3-319-78646-9 · ExternalCitation · doi-reference
A convolutional neural network–based system for fully automatic segmentation of whole-body [68Ga] Ga-PSMA PET images in prostate cancer
10.1007/s00259-023-06555-z · ExternalCitation · doi-reference
10.1007/s00261-024-04301-z
10.1007/s00261-024-04301-z · ExternalCitation · doi-reference
Unet based xception model for prostate cancer segmentation from MRI images
10.1007/s11042-021-11334-9 · ExternalCitation · doi-reference
Prostate cancer detection using residual networks
10.1007/s11548-019-01967-5 · ExternalCitation · doi-reference
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
10.1007/s11571-020-09587-5 · ExternalCitation · doi-reference
10.1007/s12325-018-0766-1
10.1007/s12325-018-0766-1 · ExternalCitation · doi-reference
Gradient bald vulture optimization enabled multi-objective Unet++ with DCNN for prostate cancer segmentation and detection
10.1016/j.bspc.2023.105474 · ExternalCitation · doi-reference
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images
10.1016/j.compmedimag.2024.102326 · ExternalCitation · doi-reference
Prostate cancer of magnetic resonance imaging automatic segmentation and detection of based on 3D-Mask RCNN
10.1016/j.jrras.2023.100636 · ExternalCitation · doi-reference
10.1016/j.media.2013.12.002
10.1016/j.media.2013.12.002 · ExternalCitation · doi-reference
End-to-end prostate cancer detection in bpMRI via 3D CNNs: effects of attention mechanisms, clinical priori and decoupled false positive reduction
10.1016/j.media.2021.102155 · ExternalCitation · doi-reference
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
10.1016/j.media.2021.102347 · ExternalCitation · doi-reference
Prostate cancer grading: Gland segmentation and structural features
10.1016/j.patrec.2011.10.001 · ExternalCitation · doi-reference
Segmentation assisted Prostate Cancer Grading with Multitask Collaborative Learning
10.1016/j.patrec.2024.04.023 · ExternalCitation · doi-reference
Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study
10.1016/s0140-6736(16)32401-1 · ExternalCitation · doi-reference
The role of the prostate in male fertility, health and disease
10.1038/nrurol.2016.89 · ExternalCitation · doi-reference
10.1038/s41416-020-01038-6
10.1038/s41416-020-01038-6 · ExternalCitation · doi-reference
10.1038/s41572-020-00243-0
10.1038/s41572-020-00243-0 · ExternalCitation · doi-reference
Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images
10.1038/s41598-022-06730-6 · ExternalCitation · doi-reference
A bi-attention adversarial network for prostate cancer segmentation
10.1109/access.2019.2939389 · ExternalCitation · doi-reference
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model
10.1109/access.2023.3326882 · ExternalCitation · doi-reference
10.1117/12.3006812
10.1117/12.3006812 · ExternalCitation · doi-reference
10.1177/1533034618775530
10.1177/1533034618775530 · ExternalCitation · doi-reference
Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy
10.1371/journal.pone.0308181 · ExternalCitation · doi-reference
10.2967/jnumed.123.266005
10.2967/jnumed.123.266005 · ExternalCitation · doi-reference
Prostate cancer incidence and mortality: global status and temporal trends in 89 countries from 2000 to 2019
10.3389/fpubh.2022.811044 · ExternalCitation · doi-reference
Interactive Cascaded Network for Prostate Cancer Segmentation from Multimodality MRI with Automated Quality Assessment
10.3390/bioengineering11080796 · ExternalCitation · doi-reference
A deep learning-based automated CT segmentation of prostate cancer anatomy for radiation therapy planning-a retrospective multicenter study
10.3390/diagnostics10110959 · ExternalCitation · doi-reference
10.3390/molecules27175730
10.3390/molecules27175730 · ExternalCitation · doi-reference
