Python/PyTorch source code for the paper:
A. Genovese, X. Bushi, L. D'Antiga, M. Lazzaroni, G. Mawi, E. Nicastro,
V. Piuri, A. Scocciolini, F. Scotti, A. Tomarelli, and T. Vicarelli,
"Biliary atresia detection using color clustering and nearest neighbor classification: A user interactive approach",
in Proc. of the 2022 IEEE Int. Conf. on Computational Intelligence
and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2022),
Chemnitz, Germany, June 15-17, 2022, pp. 1-4
Project page:
https://iebil.di.unimi.it/cnnALL/index.htm
Outline:
Citation:
@InProceedings {civemsa22_avb,
author = {A. Genovese and X. Bushi and L. D'Antiga and M. Lazzaroni and G. Mawi and E. Nicastro and V. Piuri and A. Scocciolini and F. Scotti and A. Tomarelli and T. Vicarelli},
booktitle = {Proc. of the 2022 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2022)},
title = {Biliary atresia detection using color clustering and nearest neighbor classification: A user interactive approach},
address = {Chemnitz, Germany},
pages = {1-4},
month = {June},
day = {15-17},
year = {2022},
note = {Accepted},}
Main files:
- lanciami_AVB_test5.py: main script;