DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images

Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging

(2019) David Bouget et al.   International Journal of Computer Assisted Radiology and Surgery

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images

(2014) Jayaram K. Udupa et al.   MEDICAL IMAGE ANALYSIS

Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior

(2012) Johannes Feulner et al.   MEDICAL IMAGE ANALYSIS

Automatic Detection and Segmentation of Lymph Nodes From CT Data

(2011) A. Barbu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING