[HTML][HTML] Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels
C Liu, R Zhao, W Xie, M Pang - Neural Processing Letters, 2020 - Springer
Accurate segmentation of lungs in pathological thoracic computed tomography (CT) scans
plays an important role in pulmonary disease diagnosis. However, it is still a challenging …
plays an important role in pulmonary disease diagnosis. However, it is still a challenging …
[HTML][HTML] A 2D–3D hybrid convolutional neural network for lung lobe auto-segmentation on standard slice thickness computed tomography of patients receiving …
H Gu, W Gan, C Zhang, A Feng, H Wang… - BioMedical Engineering …, 2021 - Springer
Background Accurate segmentation of lung lobe on routine computed tomography (CT)
images of locally advanced stage lung cancer patients undergoing radiotherapy can help …
images of locally advanced stage lung cancer patients undergoing radiotherapy can help …
A multiresolution convolutional neural network with partial label training for annotating reflectance confocal microscopy images of skin
We describe a new multiresolution “nested encoder-decoder” convolutional network
architecture and use it to annotate morphological patterns in reflectance confocal …
architecture and use it to annotate morphological patterns in reflectance confocal …
[HTML][HTML] Lightweight Techniques to Improve Generalization and Robustness of U-Net Based Networks for Pulmonary Lobe Segmentation
Lung lobe segmentation in chest CT is relevant to a wide range of clinical applications.
However, existing segmentation pipelines often exhibit vulnerabilities and performance …
However, existing segmentation pipelines often exhibit vulnerabilities and performance …
[PDF][PDF] 用于肿瘤调强放射治疗影像分析与转换的深度学习方法
刘国才， 顾冬冬， 刘骁， 刘劲光， 刘焰飞… - 中国生物医学工程 …, 2022 - cjbme.csbme.org
癌症已成为严重威胁人类健康的主要公共卫生问题ꎮ 60%~ 70% 的癌症患者需要进行放射治疗
ꎮ 调强放疗是当前主要的临床放疗技术ꎮ 对近几年基于深度学习的影像分析与转换方法在肿瘤 …
ꎮ 调强放疗是当前主要的临床放疗技术ꎮ 对近几年基于深度学习的影像分析与转换方法在肿瘤 …
Deep esophageal clinical target volume delineation using encoded 3D spatial context of tumors, lymph nodes, and organs at risk
Clinical target volume (CTV) delineation from radiotherapy computed tomography (RTCT)
images is used to define the treatment areas containing the gross tumor volume (GTV) …
images is used to define the treatment areas containing the gross tumor volume (GTV) …
Learning to segment anatomical structures accurately from one exemplar
Accurate segmentation of critical anatomical structures is at the core of medical image
analysis. The main bottleneck lies in gathering the requisite expert-labeled image …
analysis. The main bottleneck lies in gathering the requisite expert-labeled image …
[HTML][HTML] Pleuroparenchymal fibroelastosis in idiopathic pulmonary fibrosis: Survival analysis using visual and computer-based computed tomography assessment
E Gudmundsson, A Zhao, N Mogulkoc, I Stewart… - …, 2021 - thelancet.com
Background Idiopathic pulmonary fibrosis (IPF) and pleuroparenchymal fibroelastosis
(PPFE) are known to have poor outcomes but detailed examinations of prognostic …
(PPFE) are known to have poor outcomes but detailed examinations of prognostic …
Tunable CT lung nodule synthesis conditioned on background image and semantic features
Synthetic CT image with artificially generated lung nodules has been shown to be useful as
an augmentation method for certain tasks such as lung segmentation and nodule …
an augmentation method for certain tasks such as lung segmentation and nodule …
Lesion-aware segmentation network for atrophy and detachment of pathological myopia on fundus images
Y Guo, R Wang, X Zhou, Y Liu, L Wang… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Pathological myopia, potentially causing loss of vision, has been considered as one of the
common issues that threatens visual health of human throughout the world. Identification of …
common issues that threatens visual health of human throughout the world. Identification of …