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Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review
Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …
common in men, with an increasing incidence. Pathology diagnosis complemented with …
[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
Towards a general-purpose foundation model for computational pathology
Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks,
requiring the objective characterization of histopathological entities from whole-slide images …
requiring the objective characterization of histopathological entities from whole-slide images …
A visual-language foundation model for computational pathology
The accelerated adoption of digital pathology and advances in deep learning have enabled
the development of robust models for various pathology tasks across a diverse array of …
the development of robust models for various pathology tasks across a diverse array of …
Transformer-based unsupervised contrastive learning for histopathological image classification
A large-scale and well-annotated dataset is a key factor for the success of deep learning in
medical image analysis. However, assembling such large annotations is very challenging …
medical image analysis. However, assembling such large annotations is very challenging …
Fast and scalable search of whole-slide images via self-supervised deep learning
The adoption of digital pathology has enabled the curation of large repositories of gigapixel
whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic …
whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic …
Assertiveness-based agent communication for a personalized medicine on medical imaging diagnosis
Intelligent agents are showing increasing promise for clinical decision-making in a variety of
healthcare settings. While a substantial body of work has contributed to the best strategies to …
healthcare settings. While a substantial body of work has contributed to the best strategies to …
[HTML][HTML] BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
In this paper, we developed BreastScreening-AI within two scenarios for the classification of
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
AI-based histopathology image analysis reveals a distinct subset of endometrial cancers
Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and
therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) …
therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) …
Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer
Digital pathology allows computerized analysis of tumor ecosystem using whole slide
images (WSIs). Here, we present single-cell morphological and topological profiling (sc …
images (WSIs). Here, we present single-cell morphological and topological profiling (sc …