Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images

S Wang, Y Zhu, S Lee, DC Elton, TC Shen, Y Tang… - Medical image …, 2022 - Elsevier
Accurate and reliable detection of abnormal lymph nodes in magnetic resonance (MR)
images is very helpful for the diagnosis and treatment of numerous diseases. However, it is …

Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision

A Mehrtash, E Ziegler, T Idris, B Somarouthu… - … Medical Imaging and …, 2024 - Elsevier
Accurate lymph node size estimation is critical for staging cancer patients, initial therapeutic
management, and assessing response to therapy. Current standard practice for quantifying …

Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images

R Ferjaoui, MA Cherni, S Boujnah, NEH Kraiem… - Computer Methods and …, 2021 - Elsevier
Background: After the treatment of the patients with malignant lymphoma, there may persist
lesions that must be labeled either as evolutive lymphoma requiring new treatments or as …

Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network

AI Iuga, T Lossau, LL Caldeira, M Rinneburger… - European Journal of …, 2021 - Elsevier
Purpose To develop a deep-learning (DL)-based approach for thoracic lymph node (LN)
mapping based on their anatomical location. Method The training-and validation-dataset …

Complete fully automatic segmentation and 3-dimensional measurement of mediastinal lymph nodes for a new response evaluation criteria for solid tumors

CFJ Kuo, KH Lin, WH Weng, J Barman… - Biocybernetics and …, 2021 - Elsevier
We aimed to automatically detect and segment mediastinal lymph nodes, and to establish
an objective method and reliable new response evaluation criteria to monitor the …