Latest AI and machine learning research in pathology for healthcare professionals.
Hepatocellular carcinoma is the most spread primary liver cancer across the world ($\sim$80\% of t...
Ewing's sarcoma (ES), characterized by a high density of small round blue cells without structural...
Understanding how molecular changes caused by genetic variation drive disease risk is crucial for ...
In this paper we discuss lung cancer detection using hybrid model of Convolutional-Neural-Networks...
Prognostic task is of great importance as it closely related to the survival analysis of patients,...
We study image segmentation in the biological domain, particularly trait and part segmentation fro...
Federated Learning (FL) enables multiple users to collaboratively train a global model in a distri...
BACKGROUND AND AIMS: Achieving histological remission is a desirable emerging treatment target in ul...
Spatial proteomics technologies have transformed our understanding of complex tissue architectures...
Foundation models for computational pathology have shown great promise for specimen-level tasks an...
With over 85 million CT scans performed annually in the United States, creating tumor-related repo...
Federated- and Continual Learning have been established as approaches to enable privacy-aware lear...
Decentralized federated learning (DFL) is inherently vulnerable to poisoning attacks, as malicious...
Explainable AI (XAI) in medical histopathology is essential for enhancing the interpretability and...
With the rapid advancement of deep learning, computational pathology has made significant progress...
Recent innovations in light sheet microscopy, paired with developments in tissue clearing techniqu...
The emergence of virtual staining technology provides a rapid and efficient alternative for resear...
Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a critical global health issue, n...
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis, continues to be a m...
Fontan-Associated Liver Disease (FALD) is a disorder arising from hemodynamic changes and venous c...
Building trusted datasets is critical for transparent and responsible Medical AI (MAI) research, b...