The following publications are possibly variants of this publication:
- Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration BiopsiesLukasz Jelen, Thomas Fevens, Adam Krzyzak. amcs, 18(1):75-83, 2008. [doi]
- Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancerMuneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen. bibm 2017: 705-709 [doi]
- Influence of nuclei segmentation on breast cancer malignancy classificationLukasz Jelen, Thomas Fevens, Adam Krzyzak. micad 2009: 726014 [doi]
- Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy ScenarioBartosz Miselis, Thomas Fevens, Adam Krzyzak, Marek Kowal, Roman Monczak. pcbbe 2020: 131-142 [doi]
- Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy ClassificationLukasz Jelen, Adam Krzyzak, Thomas Fevens. ai 2008: 138-149 [doi]