1. AfAQap. AfAqap, Association Française d’Assurance Qualité en Anatomie et Cytologie Pathologiques. https://www.afaqap.fr/
2. Alhasani AT, Alkattan H, Subhi AA, El-Kenawy ESM, Eid MM (2023) A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining. Methods 7:9
3. Arima N, Nishimura R, Osako T, Nishiyama Y, Fujisue M, Okumura Y, Nakano M, Tashima R, Toyozumi Y (2016) The importance of tissue handling of surgically removed breast cancer for an accurate assessment of the Ki-67 index. J Clin Pathol 69:255
4. Benaggoune K, Masry ZA, Ma J et al (2022) A deep learning pipeline for breast cancer ki-67 proliferation index scoring, arXiv preprint arXiv:2203.07452
5. Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 679