Toward explainable artificial intelligence for precision pathology
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …
diagnostic pathology with respect to its ability to analyze histological images and …
Unleashing the potential of AI for pathology: challenges and recommendations
Computational pathology is currently witnessing a surge in the development of AI
techniques, offering promise for achieving breakthroughs and significantly impacting the …
techniques, offering promise for achieving breakthroughs and significantly impacting the …
Scaling self-supervised learning for histopathology with masked image modeling
Computational pathology is revolutionizing the field of pathology by integrating advanced
computer vision and machine learning technologies into diagnostic workflows. It offers …
computer vision and machine learning technologies into diagnostic workflows. It offers …
Mammil: Multiple instance learning for whole slide images with state space models
Z Fang, Y Wang, Z Wang, J Zhang, X Ji… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, pathological diagnosis, the gold standard for cancer diagnosis, has achieved
superior performance by combining the Transformer with the multiple instance learning …
superior performance by combining the Transformer with the multiple instance learning …
[HTML][HTML] The NCI Imaging Data Commons as a platform for reproducible research in computational pathology
DP Schacherer, MD Herrmann, DA Clunie… - Computer methods and …, 2023 - Elsevier
Background and objectives Reproducibility is a major challenge in developing machine
learning (ML)-based solutions in computational pathology (CompPath). The NCI Imaging …
learning (ML)-based solutions in computational pathology (CompPath). The NCI Imaging …
A diagnostic strategy for pulmonary fat embolism based on routine H&E staining using computational pathology
D Li, J Zhang, W Guo, K Ma, Z Qin, J Zhang… - International Journal of …, 2024 - Springer
Pulmonary fat embolism (PFE) as a cause of death often occurs in trauma cases such as
fractures and soft tissue contusions. Traditional PFE diagnosis relies on subjective methods …
fractures and soft tissue contusions. Traditional PFE diagnosis relies on subjective methods …
Computational pathology: an evolving concept
I Prassas, B Clarke, T Youssef, J Phlamon… - Clinical Chemistry and …, 2024 - degruyter.com
The initial enthusiasm about computational pathology (CP) and artificial intelligence (AI) was
that they will replace pathologists entirely on the way to fully automated diagnostics. It is …
that they will replace pathologists entirely on the way to fully automated diagnostics. It is …
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
Abstract Representation learning from Gigapixel Whole Slide Images (WSI) poses a
significant challenge in computational pathology due to the complicated nature of tissue …
significant challenge in computational pathology due to the complicated nature of tissue …
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Background: Histopathology is a gold standard for cancer diagnosis. It involves extracting
tissue specimens from suspicious areas to prepare a glass slide for a microscopic …
tissue specimens from suspicious areas to prepare a glass slide for a microscopic …
[HTML][HTML] The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study
Simple Summary This study investigates the association between routine medical imaging
and digitalized scans in lung cancer patients treated with immunotherapy. It involves …
and digitalized scans in lung cancer patients treated with immunotherapy. It involves …