Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: an approach for segmentation of ultrasound liver images and extracting the features of segmented part .
Ultrasound image segmentation: a survey
Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images
Liver Cancer CT Image Segmentation Methods Based on Watershed Algorithm
Segmentation of Liver Lesions with Reduced Complexity Deep Models
A CAD system for B-mode fatty liver ultrasound images using texture features.
3D active surfaces for liver segmentation in multisequence MRI images
A Statistical Deformable Model for the Segmentation of Liver CT Volumes
Thyroid segmentation and volume estimation in ultrasound images
Maximum likelihood segmentation of ultrasound images with Rayleigh distribution
Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks
Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images
Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Fully automatic lesion boundary detection in ultrasound breast images
Deep learning methods for multimodal hepatic lesion segmentation : Fusing functional and structural medical images Thesis Plan
A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors
4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance
Epithelial COX-2 Expression Is Not Regulated By Nitric Oxide in Rodent Renal Cortex
Understanding and Design of an Arduino-based PID Controller
Filtering for texture classification: a comparative study
MARKOV CHAIN MONTE CARLO METHODS: COMPUTATION AND INFERENCE
Cognitive Radio: From Spectrum Sharing to Adaptive Learning and Reconfiguration