Demographic‐aware deep learning for multi‐organ segmentation: Mitigating gender and age biases in CT images
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Junqiang Ma, Tao Tan, Dengqiang Jia, Yue Sun |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
by: Jue Jiang, et al.
Published: (2024)
by: Jue Jiang, et al.
Published: (2024)
UNet‐based multi‐organ segmentation in photon counting CT using virtual monoenergetic images
by: Sumin Baek, et al.
Published: (2024)
by: Sumin Baek, et al.
Published: (2024)
Lightweight deep training network for lymph nodes segmentation from head and neck CT images
by: Fan Lu, et al.
Published: (2025)
by: Fan Lu, et al.
Published: (2025)
Geometrically focused training and evaluation of organs‐at‐risk segmentation via deep learning
by: Ruiyan Ni, et al.
Published: (2025)
by: Ruiyan Ni, et al.
Published: (2025)
Benchmarking deep learning‐based low‐dose CT image denoising algorithms
by: Elias Eulig, et al.
Published: (2024)
by: Elias Eulig, et al.
Published: (2024)
Uncertainty‐guided multitask semi‐supervised network for the multi‐organ segmentation of breast cancer CBCT
by: Zi‐Yi Wang, et al.
Published: (2025)
by: Zi‐Yi Wang, et al.
Published: (2025)
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
by: Yazdan Salimi, et al.
Published: (2024)
by: Yazdan Salimi, et al.
Published: (2024)
Open area segmentation in CT images based on pixel displacement and multi‐view with application in the axillary and lower cervical regions
by: Tiange Liu, et al.
Published: (2025)
by: Tiange Liu, et al.
Published: (2025)
Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment
by: Yifan Li, et al.
Published: (2024)
by: Yifan Li, et al.
Published: (2024)
Impact of deep learning‐based multiorgan segmentation methods on patient‐specific internal dosimetry in PET/CT imaging: A comparative study
by: Mehrnoosh Karimipourfard, et al.
Published: (2024)
by: Mehrnoosh Karimipourfard, et al.
Published: (2024)
Semi‐supervised abdominal multi‐organ segmentation by object‐redrawing
by: Min Jeong Cho, et al.
Published: (2024)
by: Min Jeong Cho, et al.
Published: (2024)
Robust real‐time segmentation of bio‐morphological features in human cherenkov imaging during radiotherapy via deep learning
by: Shiru Wang, et al.
Published: (2025)
by: Shiru Wang, et al.
Published: (2025)
A review of deep learning approaches for multimodal image segmentation of liver cancer
by: Chaopeng Wu, et al.
Published: (2024)
by: Chaopeng Wu, et al.
Published: (2024)
Inference‐specific learning for improved medical image segmentation
by: Yizheng Chen, et al.
Published: (2025)
by: Yizheng Chen, et al.
Published: (2025)
Accelerating vision foundation model for efficient medical image segmentation
by: Xian‐Tao Wu, et al.
Published: (2025)
by: Xian‐Tao Wu, et al.
Published: (2025)
Performance benchmarking of deep learning models for real‐time median nerve segmentation and cross‐sectional area measurement in ultrasound imaging
by: Vaddadi Venkatesh, et al.
Published: (2026)
by: Vaddadi Venkatesh, et al.
Published: (2026)
Impact of deep learning reconstructions on image quality and liver lesion detectability in dual‐energy CT: An anthropomorphic phantom study
by: Aurélie Pauthe, et al.
Published: (2025)
by: Aurélie Pauthe, et al.
Published: (2025)
Parameter map guided explainable segmentation framework for breast cancer using amide proton transfer weighted imaging
by: Qiuhui Yang, et al.
Published: (2024)
by: Qiuhui Yang, et al.
Published: (2024)
Thorax‐encompassing multi‐modality PET/CT deep learning model for resected lung cancer prognostication: A retrospective, multicenter study
by: Jaryd R. Christie, et al.
Published: (2025)
by: Jaryd R. Christie, et al.
Published: (2025)
Thymoma habitat segmentation and risk prediction model using CT imaging and K‐means clustering
by: Zhu Liang, et al.
Published: (2025)
by: Zhu Liang, et al.
Published: (2025)
MMD‐Net: Image domain multi‐material decomposition network for dual‐energy CT imaging
by: Jiongtao Zhu, et al.
Published: (2024)
by: Jiongtao Zhu, et al.
Published: (2024)
Uncertainty quantification for CT dosimetry based on 10 281 subjects using automatic image segmentation and fast Monte Carlo calculations
by: Zirui Ye, et al.
Published: (2025)
by: Zirui Ye, et al.
Published: (2025)
Using CT images to assist the segmentation of MR images via generalization: Segmentation of the renal parenchyma of renal carcinoma patients
by: Zhengyang Yu, et al.
Published: (2024)
by: Zhengyang Yu, et al.
Published: (2024)
Automated confidence estimation in deep learning auto‐segmentation for brain organs at risk on MRI for radiotherapy
by: Nouf M. Alzahrani, et al.
Published: (2024)
by: Nouf M. Alzahrani, et al.
Published: (2024)
An unsupervised sparse‐view CT reconstruction framework using combination of iterative deep image prior and ADMM
by: Jiahao Chang, et al.
Published: (2025)
by: Jiahao Chang, et al.
Published: (2025)
Advancing cardiac MRI multi‐structure segmentation: A semi‐supervised multidimensional consistency constraint learning network
by: Hongzhen Cui, et al.
Published: (2025)
by: Hongzhen Cui, et al.
Published: (2025)
Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
by: Ren, Jintao, et al.
Published: (2024)
by: Ren, Jintao, et al.
Published: (2024)
Motion and anatomy dual aware lung ventilation imaging by integrating Jacobian map and average CT image using dual path fusion network
by: Pei Ma, et al.
Published: (2024)
by: Pei Ma, et al.
Published: (2024)
Impact of deep learning model uncertainty on manual corrections to auto-segmentation in prostate cancer radiotherapy
by: Rogowski, Viktor, et al.
Published: (2025)
by: Rogowski, Viktor, et al.
Published: (2025)
Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
by: Zhongxing Zhou, et al.
Published: (2024)
by: Zhongxing Zhou, et al.
Published: (2024)
Automatic localization of anatomical landmarks in head cine fluoroscopy images via deep learning
by: Wilbur KS Fum, et al.
Published: (2024)
by: Wilbur KS Fum, et al.
Published: (2024)
Reliable segmentation of multiple lesions from medical images
by: Meng Wang, et al.
Published: (2024)
by: Meng Wang, et al.
Published: (2024)
The impact of neck tilt on the accuracy of deep learning generated contours for CT images of the head and neck
by: Jamison Brooks, et al.
Published: (2025)
by: Jamison Brooks, et al.
Published: (2025)
Rapid multi‐catheter segmentation for magnetic resonance image‐guided catheter‐based interventions
by: Amanda M. Aleong, et al.
Published: (2024)
by: Amanda M. Aleong, et al.
Published: (2024)
Enhanced multi‐scale selective attention U‐net for breast ultrasound image segmentation
by: Peng Wang, et al.
Published: (2025)
by: Peng Wang, et al.
Published: (2025)
Multi‐scale contextual learning for medical image segmentation via dual distillation
by: Ruize Cui, et al.
Published: (2024)
by: Ruize Cui, et al.
Published: (2024)
Towards real‐time conformal palliative treatment of spine metastases: A deep learning approach for Hounsfield Unit recovery of cone beam CT images
by: Mehan Haidari, et al.
Published: (2025)
by: Mehan Haidari, et al.
Published: (2025)
Robust synchrotron-based deep learning algorithm for intracochlear segmentation in clinical scans: development and international validation
by: Micuda, Ashley, et al.
Published: (2026)
by: Micuda, Ashley, et al.
Published: (2026)
Generalizability of lesion detection and segmentation when ScaleNAS is trained on a large multi‐organ dataset and validated in the liver
by: Jingchen Ma, et al.
Published: (2024)
by: Jingchen Ma, et al.
Published: (2024)
Enhancing prostate cancer segmentation on multiparametric magnetic resonance imaging with background information and gland masks
by: Lei Wang, et al.
Published: (2024)
by: Lei Wang, et al.
Published: (2024)
Similar Items
-
Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
by: Jue Jiang, et al.
Published: (2024) -
UNet‐based multi‐organ segmentation in photon counting CT using virtual monoenergetic images
by: Sumin Baek, et al.
Published: (2024) -
Lightweight deep training network for lymph nodes segmentation from head and neck CT images
by: Fan Lu, et al.
Published: (2025) -
Geometrically focused training and evaluation of organs‐at‐risk segmentation via deep learning
by: Ruiyan Ni, et al.
Published: (2025) -
Benchmarking deep learning‐based low‐dose CT image denoising algorithms
by: Elias Eulig, et al.
Published: (2024)