Publications

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Journal Article
C. Di Ruberto, Loddo, A., e Putzu, L., «Histological image analysis by invariant descriptors», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10484 LNCS, pagg 345 – 356, 2017.
L. Putzu, Caocci, G., e Di Ruberto, C., «Leucocyte classification for leukaemia detection using image processing techniques», Artificial Intelligence in Medicine, vol 62, pagg 179 – 191, 2014.
C. Di Ruberto, Loddo, A., e Putzu, L., «A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling», Machine Vision and Applications, vol 27, pagg 1151 – 1160, 2016.
L. Putzu, Di Ruberto, C., e Fenu, G., «A mobile application for leaf detection in complex background using saliency maps», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10016 LNCS, pagg 570 – 581, 2016.
C. Di Ruberto, Loddo, A., e Putzu, L., «A multiple classifier learning by sampling system for white blood cells segmentation», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9257, pagg 415 – 425, 2015.
C. Di Ruberto, Loddo, A., e Putzu, L., «On The Potential of Image Moments for Medical Diagnosis», Journal of Imaging, vol 9, 2023.
C. Di Ruberto, Loddo, A., e Putzu, L., «A region proposal approach for cells detection and counting from microscopic blood images», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 11752 LNCS, pagg 47 – 58, 2019.
A. Loddo e Putzu, L., «On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study», Applied Sciences (Switzerland), vol 12, 2022.
L. Putzu e Di Ruberto, C., «Rotation invariant co-occurrence matrix features», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10484 LNCS, pagg 391 – 401, 2017.
R. Delussu, Putzu, L., e Fumera, G., «Scene-specific Crowd Counting Using Synthetic Training Images», Pattern Recognition, vol 124, 2022. (3.14 MB)
C. Di Ruberto, Loddo, A., e Putzu, L., «Special Issue on Image Processing Techniques for Biomedical Applications», Applied Sciences (Switzerland), vol 12, 2022.

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