Digital pathology and computational image analysis in nephropathology
The emergence of digital pathology—an image-based environment for the acquisition,
management and interpretation of pathology information supported by computational …
management and interpretation of pathology information supported by computational …
[HTML][HTML] Cellvit: Vision transformers for precise cell segmentation and classification
Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images
are important clinical tasks and crucial for a wide range of applications. However, it is a …
are important clinical tasks and crucial for a wide range of applications. However, it is a …
Attention-based deep neural networks for detection of cancerous and precancerous esophagus tissue on histopathological slides
Importance Deep learning–based methods, such as the sliding window approach for
cropped-image classification and heuristic aggregation for whole-slide inference, for …
cropped-image classification and heuristic aggregation for whole-slide inference, for …
An imaging biomarker of tumor-infiltrating lymphocytes to risk-stratify patients with HPV-associated oropharyngeal cancer
Background Human papillomavirus (HPV)–associated oropharyngeal squamous cell
carcinoma (OPSCC) has excellent control rates compared to nonvirally associated OPSCC …
carcinoma (OPSCC) has excellent control rates compared to nonvirally associated OPSCC …
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review
Cancer remains one of the most challenging diseases to treat in the medical field. Machine
learning has enabled in-depth analysis of rich multi-omics profiles and medical imaging for …
learning has enabled in-depth analysis of rich multi-omics profiles and medical imaging for …
What does literature teach about digital pathology? A bibliometric study in Web of Science
Digital pathology (DIPA) has become an effective discipline that generates a graphic
environment to diagnose and interpret the pathological information of people. When …
environment to diagnose and interpret the pathological information of people. When …
Building human visual attention map for construction equipment teleoperation
J Fan, X Li, X Su - Frontiers in Neuroscience, 2022 - frontiersin.org
Construction equipment teleoperation is a promising solution when the site environment is
hazardous to operators. However, limited situational awareness of the operator exists as …
hazardous to operators. However, limited situational awareness of the operator exists as …
Dimension reduction technique using a multilayered descriptor for high-precision classification of ovarian cancer tissue using optical coherence tomography: a …
C St-Pierre, WJ Madore, E De Montigny… - Journal of Medical …, 2017 - spiedigitallibrary.org
Optical coherence tomography (OCT) yields microscopic volumetric images representing
tissue structures based on the contrast provided by elastic light scattering. Multipatient …
tissue structures based on the contrast provided by elastic light scattering. Multipatient …
[图书][B] Modélisation et représentation dans l'espace des phénomènes photoniques inélastiques en biophotonique
C St-Pierre - 2017 - search.proquest.com
UNIVERSITÉ DE MONTRÉAL MODÉLISATION ET REPRÉSENTATION DANS L’ESPACE DES
PHÉNOMÈNES PHOTONIQUES INÉLASTIQUES EN BIOPHOTO Page 1 UNIVERSITÉ DE …
PHÉNOMÈNES PHOTONIQUES INÉLASTIQUES EN BIOPHOTO Page 1 UNIVERSITÉ DE …
Learning Basal Cell Carcinoma Patterns by Fusing Pathologists' WSI Navigations and Graph-Based Centrality Features
G Corredor, JD García-Arteaga, V Arias… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
This article introduces a model that automatically detects suspicious basal cell carcinoma
regions in whole slide images (WSI) by integrating nuclear architectural features and …
regions in whole slide images (WSI) by integrating nuclear architectural features and …