no code implementations • 18 Nov 2023 • Leon Hamnett, Mary Adewunmi, Modinat Abayomi, Kayode Raheem, Fahad Ahmed
Our results show that the proposed methodology leads to segmentation models that are more resilient to variations in histology slides whilst maintaining high levels of segmentation performance, and show improved segmentation of the tumour class when compared to previous research.
no code implementations • 15 Sep 2023 • Fahad Ahmed, Reem Abdel-Salam, Leon Hamnett, Mary Adewunmi, Temitope Ayano
We believe that our study significantly impacts the early diagnosis and identification of breast cancer tumors and their subtypes, especially atypical and malignant tumors, thus improving patient outcomes and reducing patient mortality rates.