A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval
Benefiting from the large-scale archiving of digitized whole-slide images (WSIs), computer-
aided diagnosis has been well developed to assist pathologists in decision-making. Content …
aided diagnosis has been well developed to assist pathologists in decision-making. Content …
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 …
Clinical applications of graph neural networks in computational histopathology: A review
X Meng, T Zou - Computers in Biology and Medicine, 2023 - Elsevier
Pathological examination is the optimal approach for diagnosing cancer, and with the
advancement of digital imaging technologies, it has spurred the emergence of …
advancement of digital imaging technologies, it has spurred the emergence of …
[HTML][HTML] Yottixel–an image search engine for large archives of histopathology whole slide images
With the emergence of digital pathology, searching for similar images in large archives has
gained considerable attention. Image retrieval can provide pathologists with unprecedented …
gained considerable attention. Image retrieval can provide pathologists with unprecedented …
A novel Siamese deep hashing model for histopathology image retrieval
Content-based histopathology image retrieval can be a useful technique for help in
diagnosing various diseases. The process of retrieving images is often time-consuming and …
diagnosing various diseases. The process of retrieving images is often time-consuming and …
Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification
Y Zheng, Z Jiang, F ** reliable computer-aided diagnosis (CAD) systems. However, the color …
Histopathological whole slide image analysis using context-based CBIR
Histopathological image classification (HIC) and content-based histopathological image
retrieval (CBHIR) are two promising applications for the histopathological whole slide image …
retrieval (CBHIR) are two promising applications for the histopathological whole slide image …
Atlas of digital pathology: A generalized hierarchical histological tissue type-annotated database for deep learning
In recent years, computer vision techniques have made large advances in image recognition
and been applied to aid radiological diagnosis. Computational pathology aims to develop …
and been applied to aid radiological diagnosis. Computational pathology aims to develop …