Harnessing non-destructive 3D pathology
High-throughput methods for slide-free three-dimensional (3D) pathological analyses of
whole biopsies and surgical specimens offer the promise of modernizing traditional …
whole biopsies and surgical specimens offer the promise of modernizing traditional …
Breast cancer detection, segmentation and classification on histopathology images analysis: a systematic review
R Krithiga, P Geetha - Archives of Computational Methods in Engineering, 2021 - Springer
Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …
examinations constitute the standard in medical protocols and the law, and call for specific …
Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning
We address the challenging problem of whole slide image (WSI) classification. WSIs have
very high resolutions and usually lack localized annotations. WSI classification can be cast …
very high resolutions and usually lack localized annotations. WSI classification can be cast …
[HTML][HTML] An investigation of XGBoost-based algorithm for breast cancer classification
Breast cancer is one of the leading cancers affecting women around the world. The
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …
[HTML][HTML] Automatic pancreatic ductal adenocarcinoma detection in whole slide images using deep convolutional neural networks
H Fu, W Mi, B Pan, Y Guo, J Li, R Xu, J Zheng… - Frontiers in …, 2021 - frontiersin.org
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancer types worldwide,
with the lowest 5-year survival rate among all kinds of cancers. Histopathology image …
with the lowest 5-year survival rate among all kinds of cancers. Histopathology image …
[HTML][HTML] Transfer learning approach for classification of histopathology whole slide images
S Ahmed, A Shaikh, H Alshahrani, A Alghamdi… - Sensors, 2021 - mdpi.com
The classification of whole slide images (WSIs) provides physicians with an accurate
analysis of diseases and also helps them to treat patients effectively. The classification can …
analysis of diseases and also helps them to treat patients effectively. The classification can …
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization
High-quality whole slide scanners used for animal and human pathology scanning are
expensive and can produce massive datasets, which limits the access to and adoption of …
expensive and can produce massive datasets, which limits the access to and adoption of …
[HTML][HTML] Diagnostics and therapy assessment using label-free Raman imaging
SF El-Mashtoly, K Gerwert - Analytical Chemistry, 2021 - ACS Publications
Raman microspectroscopy is an emerging analytical tool that can monitor the biochemical
composition of biological or biomedical specimens, including proteins, cells, and tissues, as …
composition of biological or biomedical specimens, including proteins, cells, and tissues, as …
[HTML][HTML] Selection, visualization, and interpretation of deep features in lung adenocarcinoma and squamous cell carcinoma
Although deep learning networks applied to digital images have shown impressive results
for many pathology-related tasks, their black-box approach and limitation in terms of …
for many pathology-related tasks, their black-box approach and limitation in terms of …
[HTML][HTML] A review of computer-aided expert systems for breast cancer diagnosis
Simple Summary Breast cancer is one of the most commonly diagnosed diseases in females
around the world. The most threatening is when cancer spreads uncontrollably to other parts …
around the world. The most threatening is when cancer spreads uncontrollably to other parts …