🤗 A multilabel lymph node segmentation dataset from contrast CT
Python package for statistical modelling of lymphatic metastatic spread in head & neck cancer.
Web app for exploring patterns and correlations in the lymph node level involvements of head & neck cancer patients.
Repository for storing datasets that report detailed lymphatic progression patterns of head & neck cancer patients.
Plataforma analítica inteligente que cuantifica biomarcadores de tomografías computarizadas de ganglios linfáticos mediante radiómica avanzada y predice el riesgo de adenopatías mediastínicas a través de modelos de clasificación y regresión, integrados en un dashboard interactivo Django.
This repository can be used to reproduce and/or update the tables and figures of our publication titled "Patterns of Lymph Node Involvement for Oral Cavity Squamous Cell Carcinoma".
Extension to the lymph-model and lyscripts package.
Award-winning M.Sc. seminar reviewing EBUS imaging, lymph-node malignancy assessment, and deep learning methods for lung cancer diagnosis.
Programas TFM VIU 2025
Histopathologic metastatic breast cancer detection with convolution neural networks on pathology whole slide images using TensorFlow.
Custom Fiji macros to semi-automate analysis of immunofluorescence microscopy images of lymph nodes. Developed by Kassandra Vezyrgianni and Stephen Rothery
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