Latest AI and machine learning research in pathology for healthcare professionals.
Video microscopy, when combined with machine learning, offers a promising approach for studying th...
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population ...
Large language models (LLMs) are increasingly integrated into real-world personalized applications...
Neural networks have become the standard technique for medical diagnostics, especially in cancer d...
Recent advancements in Large Language Models (LLMs) have significantly enhanced the capabilities o...
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a medical imaging technique that...
Recent advancements in foundation models have transformed computer vision, driving significant per...
Recent advancements in machine learning (ML), natural language processing (NLP), and foundational ...
Heat-based cancer treatment, so-called hyperthermia, can be used to destroy tumour cells directly ...
The ability of tumors to evolve and adapt by developing subclones in different genetic and epigene...
Emerging research has highlighted that artificial intelligence based multimodal fusion of digital ...
Nucleus segmentation is an important analysis task in digital pathology. However, methods for auto...
Accurate prostate cancer diagnosis remains challenging. Even when using MRI, radiologists exhibit ...
The retroperitoneum hosts a variety of tumors, including rare benign and malignant types, which po...
The aim of this study was to validate the diagnostic potential of four previously identified miRNAs ...
Endometrial cancer (EC) incidence and the associated tumour burden have increased globally. To build...
Pre-biopsy magnetic resonance imaging (MRI) is increasingly used to target suspicious prostate les...
Full-Field Digital Mammography (FFDM) is the primary imaging modality for routine breast cancer sc...
Over the last decade, genome-wide association studies (GWAS) have successfully identified numerous...
Purpose: We present a virtual model to optimize point of entry (POE) in lung biopsy planning syste...
Text-to-image diffusion models show remarkable generation performance following text prompts, but ...