Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

(2018) Grzegorz Chlebus et al.   Scientific Reports

Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation

(2017) Changfa Shi et al.   MEDICAL IMAGE ANALYSIS

Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model

(2016) Baochun He et al.   MEDICAL PHYSICS

Fully automated MR liver volumetry using watershed segmentation coupled with active contouring

(2016) Hieu Trung Huynh et al.   International Journal of Computer Assisted Radiology and Surgery

Comparison of MRI- and CT-based semiautomated liver segmentation: a validation study

(2016) Akshat Gotra et al.   Abdominal Radiology

Fully automatic scheme for measuring liver volume in 3D MR images

(2015) Trong-Ngoc Le et al.   BIO-MEDICAL MATERIALS AND ENGINEERING

Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization

(2015) Arantza Bereciartua et al.   Biomedical Signal Processing and Control

Radioembolization for the Treatment of Liver Tumors

(2010) Andrew Kennedy et al.   AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS