Towards a generalizable pathology foundation model via unified knowledge distillation

J Ma, Z Guo, F Zhou, Y Wang, Y Xu, Y Cai… - arXiv preprint arXiv …, 2024 - arxiv.org
Foundation models pretrained on large-scale datasets are revolutionizing the field of
computational pathology (CPath). The generalization ability of foundation models is crucial …

Domain generalization in computational pathology: survey and guidelines

M Jahanifar, M Raza, K Xu, T Vuong… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …

Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets

A Fiorin, C López Pablo, M Lejeune… - Journal of Imaging …, 2024 - Springer
The field of immunology is fundamental to our understanding of the intricate dynamics of the
tumor microenvironment. In particular, tumor-infiltrating lymphocyte (TIL) assessment …

Improving Tumor-Infiltrating Lymphocytes Score Prediction in Breast Cancer with Self-Supervised Learning

S Kim, K Rakib Hasan, Y Ando, S Ko, D Lee, NJY Park… - Life, 2024 - mdpi.com
Tumor microenvironment (TME) plays a pivotal role in immuno-oncology, which investigates
the intricate interactions between tumors and the human immune system. Specifically, tumor …

Tissue Concepts: supervised foundation models in computational pathology

T Nicke, JR Schaefer, H Hoefener, F Feuerhake… - arXiv preprint arXiv …, 2024 - arxiv.org
Due to the increasing workload of pathologists, the need for automation to support
diagnostic tasks and quantitative biomarker evaluation is becoming more and more …

Detection of Tumor-Infiltrating Lymphocytes in the Images of Immunohistochemistry using Deep Learning Techniques

SB Priya, M Karuparthi… - … Conference on Image …, 2023 - ieeexplore.ieee.org
Deep learning is playing a pivotal role in revolutionizing the field of medicine, particularly in
its ability to enhance the interpretation of histopathological images and unravel the intricate …

A Deep Learning Framework for Predicting Prognostically Relevant Consensus Molecular Subtypes in HPV-Positive Cervical Squamous Cell Carcinoma from Routine …

R Wang, G Gunesli, VE Skingen, KAF Valen, H Lyng… - bioRxiv, 2024 - biorxiv.org
Despite efforts in human papillomavirus (HPV) prevention and screening, cervical cancer
remains the fourth most prevalent cancer among women globally. In this study, we propose …

[PDF][PDF] A Colour Wheel to Rule them All: Analysing Colour & Geometry in Medical Microscopy

LN Sáenz - 2023 - e-archivo.uc3m.es
Personalized medicine is a rapidly growing field in healthcare that aims to customize
medical treatments and preventive measures based on each patient's unique …