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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology
Hematoxylin-and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis
of cancer. In recent years, development of deep learning-based methods in computational …
of cancer. In recent years, development of deep learning-based methods in computational …
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 …
Bias in medical AI: Implications for clinical decision-making
Biases in medical artificial intelligence (AI) arise and compound throughout the AI lifecycle.
These biases can have significant clinical consequences, especially in applications that …
These biases can have significant clinical consequences, especially in applications that …
[HTML][HTML] Immune subty** of melanoma whole slide images using multiple instance learning
Determining early-stage prognostic markers and stratifying patients for effective treatment
are two key challenges for improving outcomes for melanoma patients. Previous studies …
are two key challenges for improving outcomes for melanoma patients. Previous studies …
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
P Neidlinger, OSM El Nahhas, HS Muti, T Lenz… - ar** hematoxylin-and-eosin
(H&E) stained image features to expression of individual genes. However, these models …
(H&E) stained image features to expression of individual genes. However, these models …
Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images
Immune checkpoint inhibitors (ICI) have become integral to treatment of non-small cell lung
cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are …
cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are …