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Adél Bajcsi
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SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine?
SD Iancu, RG Cozan, A Stefancu, M David, T Moisoiu, C Moroz-Dubenco, ...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 273, 120992, 2022
222022
Towards feature selection for digital mammogram classification
A Bajcsi, A Andreica, C Chira
Procedia Computer Science 192, 632-641, 2021
92021
Textural and Shape Features for Lesion Classification in Mammogram Analysis
A Bajcsi, C Chira
International Conference on Hybrid Artificial Intelligence Systems, 755-767, 2023
12023
EXTENDED MAMMOGRAM CLASSIFICATION FROM TEXTURAL FEATURES.
A Bajcsi, C Chira, A Andreica
Studia Universitatis Babes-Bolyai, Informatica 67 (2), 2022
12022
An unsupervised threshold-based growcut algorithm for mammography lesion detection
C Moroz-Dubenco, A Bajcsi, A Andreica, C Chira
Procedia Computer Science 207, 2096-2105, 2022
12022
Significance of Training Images and Feature Extraction in Lesion Classification.
A Bajcsi, A Andreica, C Chira
ICAART (3), 117-124, 2024
2024
Comparative Study of Interpretable Image Classification Models
A Bajcsi, A Bajcsi, S Pável, Á Portik, C Sándor, A Szenkovits, O Vas, ...
INFOCOMMUNICATIONS JOURNAL 15 (SI), 20-26, 2023
2023
Towards a Support System for Digital Mammogram Classification
A BAJCSI
Studia Universitatis Babeș-Bolyai Informatica, 19-34, 2021
2021
Influence of the backbone architecture on interpretability in self-explanatory networks
A Portik, A Bajcsi, A Szenkovits, Z Bodó
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Artículos 1–9