Mednet: Computer-Aided Disease Detection and Grading from Medical Images

Posted on Fri 01 September 2023 in software

Mednet is an open-source software package that can train and evaluate convolutional neural network (CNN) architectures to detect and grade diseases based on medical images. Examples include Pulmonary Tuberculosis (TB) detection based on chest X-rays (CXR) and Inflammatory Eye-Diseases based on fundus angiograms.

Associated Publications

If you use this work, cite at least use the BibTeX references below:

     author = {Raposo, Geoffrey and Trajman, Anete and Anjos, Andr{\'{e}}},
     month = 11,
     title = {Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using Deep Models},
     booktitle = {Union World Conference on Lung Health},
     year = {2022},
     date = {2022-11-01},
     organization = {The Union},

    author = {Amiot, Victor AND Jimenez-del-Toro, Oscar AND Eyraud, Pauline AND Guex-Crosier, Yan AND Bergin, Ciara AND Anjos, André AND Hoogewoud, Florence AND Tomasoni, Mattia},
    title = {Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings},
    booktitle={2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
    year = {2023},
    month = 6,
    doi = {10.1109/CBMS58004.2023.00301},