[HTML][HTML] Artificial intelligence strengthens cervical cancer screening–present and future
Cervical cancer is a severe threat to women's health. The majority of cervical cancer cases
occur in develo** countries. The WHO has proposed screening 70% of women with high …
occur in develo** countries. The WHO has proposed screening 70% of women with high …
A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities
Biomedical image analysis is fundamental for biomedical discovery. Holistic image analysis
comprises interdependent subtasks such as segmentation, detection and recognition, which …
comprises interdependent subtasks such as segmentation, detection and recognition, which …
Minimal residual disease as a target for liquid biopsy in patients with solid tumours
Metastasis is the leading cause of cancer-related death in patients with solid tumours.
Current imaging technologies are not sufficiently sensitive to detect minimal residual …
Current imaging technologies are not sufficiently sensitive to detect minimal residual …
A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs
Background Biomedical data are inherently multimodal, comprising physical measurements
and natural-language narratives. A generalist biomedical artificial intelligence (AI) model …
and natural-language narratives. A generalist biomedical artificial intelligence (AI) model …
Virchow2: Scaling self-supervised mixed magnification models in pathology
E Zimmermann, E Vorontsov, J Viret, A Casson… - ar** self-supervised learning (SSL) models that can learn universal and transferable
representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly …
representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly …
Hest-1k: A dataset for spatial transcriptomics and histology image analysis
Spatial transcriptomics enables interrogating the molecular composition of tissue with ever-
increasing resolution and sensitivity. However, costs, rapidly evolving technology, and lack …
increasing resolution and sensitivity. However, costs, rapidly evolving technology, and lack …
A multimodal knowledge-enhanced whole-slide pathology foundation model
Remarkable strides in computational pathology have been made in the task-agnostic
foundation model that advances the performance of a wide array of downstream clinical …
foundation model that advances the performance of a wide array of downstream clinical …