The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review
Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis
of different types of cancer. The preparation and digitization of histological tissues leads to …
of different types of cancer. The preparation and digitization of histological tissues leads to …
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 …
Patch-based system for classification of breast histology images using deep learning
In this work, we proposed a patch-based classifier (PBC) using Convolutional neural
network (CNN) for automatic classification of histopathological breast images. Presence of …
network (CNN) for automatic classification of histopathological breast images. Presence of …
[HTML][HTML] Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
Modern pathology diagnostics is being driven toward large scale digitization of microscopic
tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue …
tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue …
Machine learning methods for histopathological image analysis: A review
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
In vivo anticancer activity of a rhenium (I) tricarbonyl complex
CC Konkankit, AP King, KM Knopf… - ACS medicinal …, 2019 - ACS Publications
The rhenium (I) complex fac-[Re (CO) 3 (2, 9-dimethyl-1, 10-phenanthroline)(OH2)]+(1) was
previously shown to exhibit potent in vitro anticancer activity in a manner distinct from …
previously shown to exhibit potent in vitro anticancer activity in a manner distinct from …
Design of a decellularized fish skin as a biological scaffold for skin tissue regeneration
The use of decellularized natural skin as an extracellular matrix (ECM) may be a great
candidate to regenerate damaged tissues. In this study, decellularized scaffolds from fish …
candidate to regenerate damaged tissues. In this study, decellularized scaffolds from fish …
A new color augmentation method for deep learning segmentation of histological images
This paper addresses the problem of labeled data insufficiency in neural network training for
semantic segmentation of color-stained histological images acquired via Whole Slide …
semantic segmentation of color-stained histological images acquired via Whole Slide …
[HTML][HTML] Chemical profile and in vivo toxicity evaluation of unripe Citrus aurantifolia essential oil
Abstract Citrus aurantifolia (Christm.) Swingle (syn. C. MEDICA var. ACIDA Brandis)(family:
Rutaceae) essential oil is one of the cheapest oils found in local markets. Although, it is …
Rutaceae) essential oil is one of the cheapest oils found in local markets. Although, it is …
Harnessing artificial intelligence to infer novel spatial biomarkers for the diagnosis of eosinophilic esophagitis
Eosinophilic esophagitis (EoE) is a chronic allergic inflammatory condition of the esophagus
associated with elevated esophageal eosinophils. Second only to gastroesophageal reflux …
associated with elevated esophageal eosinophils. Second only to gastroesophageal reflux …