Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence
Simple Summary Risk assessment in early breast cancer is critical for clinical decisions, but
defining risk categories poses a significant challenge. The integration of conventional …
defining risk categories poses a significant challenge. The integration of conventional …
Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer
C McCaffrey, C Jahangir, C Murphy… - Expert Review of …, 2024 - Taylor & Francis
Introduction Histological images contain phenotypic information predictive of patient
outcomes. Due to the heavy workload of pathologists, the time-consuming nature of …
outcomes. Due to the heavy workload of pathologists, the time-consuming nature of …
[HTML][HTML] Mitosis detection, fast and slow: robust and efficient detection of mitotic figures
M Jahanifar, A Shephard, N Zamanitajeddin… - Medical Image …, 2024 - Elsevier
Counting of mitotic figures is a fundamental step in grading and prognostication of several
cancers. However, manual mitosis counting is tedious and time-consuming. In addition …
cancers. However, manual mitosis counting is tedious and time-consuming. In addition …
Evolution of artificial intelligence as a modern technology in advanced cancer therapy
In the field of cancer research, a bird's eye view is now demanded to alleviate patient
suffering and mediate the lack of conventional cancer treatment. Despite of the …
suffering and mediate the lack of conventional cancer treatment. Despite of the …
Benchmarking Domain Generalization Algorithms in Computational Pathology
N Zamanitajeddin, M Jahanifar, K Xu, F Siraj… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep learning models have shown immense promise in computational pathology (CPath)
tasks, but their performance often suffers when applied to unseen data due to domain shifts …
tasks, but their performance often suffers when applied to unseen data due to domain shifts …
Research trends on AI in breast cancer diagnosis, and treatment over two decades
A Singh, A Singh, S Bhattacharya - Discover Oncology, 2024 - Springer
Objective Recently, the integration of Artificial Intelligence (AI) has significantly enhanced
the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive …
the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive …
[PDF][PDF] over two decades
A Singh, A Singh, S Bhattacharya - 2024 - researchgate.net
Objective Recently, the integration of Artificial Intelligence (AI) has significantly enhanced
the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive …
the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive …
Application of AI in detection of breast cancer with laboratory results monitoring
S Prevljak, A Kustura, B Hasanefendic… - Bioengineering …, 2024 - journals.ardascience.com
Breast cancer is one of the most common types of cancer among women worldwide,
therefore an early and precise process of diagnostics plays an important role in improving …
therefore an early and precise process of diagnostics plays an important role in improving …