Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts

Liver segmentation from abdominal CT volumes based on level set and sparse shape composition

(2020) Yang Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Image superpixel segmentation based on hierarchical multi-level LI-SLIC

(2020) Shuanhu Di et al.   OPTICS AND LASER TECHNOLOGY

Segmentation and Diagnosis of Liver Carcinoma Based on Adaptive Scale-Kernel Fuzzy Clustering Model for CT Images

(2019) Jianhong Cai   JOURNAL OF MEDICAL SYSTEMS

AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

(2019) Hui Sun et al.   PHYSICS IN MEDICINE AND BIOLOGY

Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation

(2019) Ümit Budak et al.   MEDICAL HYPOTHESES

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

(2019) Hyunseok Seo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Liver vessel segmentation based on centerline constraint and intensity model

(2018) Ye-zhan Zeng et al.   Biomedical Signal Processing and Control

Automatic liver vessel segmentation using 3D region growing and hybrid active contour model

(2018) Ye-zhan Zeng et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm

(2018) Ahmed M. Anter et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Semi-Automated Segmentation of Single and Multiple Tumors in Liver CT Images Using Entropy-Based Fuzzy Region Growing

(2017) A. Baâzaoui et al.   IRBM

Adaptive local window for level set segmentation of CT and MRI liver lesions

(2017) Assaf Hoogi et al.   MEDICAL IMAGE ANALYSIS

3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts

(2017) Weiwei Wu et al.   Biomed Research International

Efficient liver segmentation in CT images based on graph cuts and bottleneck detection

(2016) Miao Liao et al.   Physica Medica-European Journal of Medical Physics

Improved segmentation of low-contrast lesions using sigmoid edge model

(2015) Amir Hossein Foruzan et al.   International Journal of Computer Assisted Radiology and Surgery

A new unified level set method for semi-automatic liver tumor segmentation on contrast-enhanced CT images

(2012) Bing Nan Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING