Rok 2023

• Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach

  Publikacja

  • M. Bobowicz
  • M. Rygusik
  • J. Buler
  • R. Buler
  • M. Ferlin
  • A. Kwasigroch
  • E. Szurowska
  • M. Grochowski

  - Cancers - Rok 2023

  Breast cancer is the most frequent female cancer, with a considerable disease burden and high mortality. Early diagnosis with screening mammography might be facilitated by automated systems supported by deep learning artificial intelligence. We propose a model based on a weakly supervised Clustering-constrained Attention Multiple Instance Learning (CLAM) classifier able to train under data scarcity effectively. We used a private...

  Pełny tekst do pobrania w portalu

• Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models

  Publikacja

  • J. Buler
  • R. Buler
  • M. Bobowicz
  • M. Ferlin
  • M. Rygusik
  • A. Kwasigroch
  • M. Grochowski

  - Rok 2023

  Breast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...

  Pełny tekst do pobrania w serwisie zewnętrznym