Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles

[1]  Rafał Obuchowicz,et al.  Does image normalization and intensity resolution impact texture classification? , 2020, Comput. Medical Imaging Graph..

[2]  Ronald M. Summers,et al.  A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations , 2014, MICCAI.

[3]  T. Barrett,et al.  Diffusion-weighted imaging (DWI) in lymph node staging for prostate cancer , 2018, Translational andrology and urology.

[4]  Dipanjali Mondal,et al.  Diffusion-weighted MR imaging in primary rectal cancer staging demonstrates but does not characterise lymph nodes , 2013, European Radiology.

[5]  Xin Gao,et al.  Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study , 2020, EBioMedicine.

[6]  Xun Xu,et al.  Automatic Detection and Segmentation of Lymph Nodes From CT Data , 2012, IEEE Transactions on Medical Imaging.

[7]  G. Langman,et al.  Size and Distribution of Lymph Nodes in Rectal Cancer Resection Specimens , 2015, Diseases of the colon and rectum.

[8]  Dorin Comaniciu,et al.  Lymph Node Detection and Segmentation in Chest Ct Data Using Discriminative Learning and a Spatial Prior , 2022 .

[9]  Ben Glocker,et al.  Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels , 2019, MICCAI.

[10]  Roman Solovyev,et al.  Weighted boxes fusion: Ensembling boxes from different object detection models , 2021, Image Vis. Comput..

[11]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Daisuke Deguchi,et al.  Automatic mediastinal lymph node detection in chest CT , 2009, Medical Imaging.

[13]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[14]  Yoshihiko Nakamura,et al.  Automated Extraction of Lymph Nodes from 3-D Abdominal CT Images Using 3-D Minimum Directional Difference Filter , 2007, MICCAI.

[15]  Henkjan J. Huisman,et al.  Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks , 2019, PeerJ.

[16]  Ronald M. Summers,et al.  Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection , 2015, MICCAI.

[17]  C. Compton,et al.  The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population‐based to a more “personalized” approach to cancer staging , 2017, CA: a cancer journal for clinicians.

[18]  Shuai Wang,et al.  Automatic recognition of abdominal lymph nodes from clinical text , 2020, CLINICALNLP.

[19]  M. Taupitz Imaging of Lymph Nodes — MRI and CT , 2007 .

[20]  D. Koh,et al.  Nodal staging , 2009, Cancer imaging : the official publication of the International Cancer Imaging Society.

[21]  Jianhua Yao,et al.  Mediastinal lymph node detection and station mapping on chest CT using spatial priors and random forest. , 2016, Medical physics.

[22]  Youbao Tang,et al.  MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation , 2019, MICCAI.

[23]  Gwoboa Horng,et al.  Automatic Contrast Enhancement of Brain MR Images Using Hierarchical Correlation Histogram Analysis , 2015, Journal of medical and biological engineering.