Deep learning-enabled virtual histological staining of biological samples
Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
[HTML][HTML] Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison
MZ Hoque, A Keskinarkaus, P Nyberg, T Seppänen - Information Fusion, 2024 - Elsevier
The advent of whole slide imaging has brought advanced computer-aided diagnosis via
medical imaging and artificial intelligence technologies in digital pathology. The …
medical imaging and artificial intelligence technologies in digital pathology. The …
Deconv-transformer (DecT): A histopathological image classification model for breast cancer based on color deconvolution and transformer architecture
Z He, M Lin, Z Xu, Z Yao, H Chen, A Alhudhaif… - Information …, 2022 - Elsevier
Histopathological image recognition of breast cancer is an onerous task. Although many
deep learning models have achieved good classification results on histopathological image …
deep learning models have achieved good classification results on histopathological image …
Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation
B Natarajan, E Rajalakshmi, R Elakkiya… - IEEE …, 2022 - ieeexplore.ieee.org
The recent developments in deep learning techniques evolved to new heights in various
domains and applications. The recognition, translation, and video generation of Sign …
domains and applications. The recognition, translation, and video generation of Sign …
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Systemic amyloidosis involves the deposition of misfolded proteins in organs/tissues,
leading to progressive organ dysfunction and failure. Congo red is the gold-standard …
leading to progressive organ dysfunction and failure. Congo red is the gold-standard …
Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling
Understanding the spatial heterogeneity of tumours and its links to disease initiation and
progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily …
progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily …
Multistain Pretraining for Slide Representation Learning in Pathology
Developing self-supervised learning (SSL) models that can learn universal and transferable
representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly …
representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly …
Virtual stain transfer in histology via cascaded deep neural networks
Pathological diagnosis relies on the visual inspection of histologically stained thin tissue
specimens, where different types of stains are applied to bring contrast to and highlight …
specimens, where different types of stains are applied to bring contrast to and highlight …
[HTML][HTML] Unstained tissue imaging and virtual hematoxylin and eosin staining of histologic whole slide images
Tissue structures, phenotypes, and pathology are routinely investigated based on histology.
This includes chemically staining the transparent tissue sections to make them visible to the …
This includes chemically staining the transparent tissue sections to make them visible to the …
[HTML][HTML] AI-driven 3D bioprinting for regenerative medicine: from bench to bedside
In recent decades, 3D bioprinting has garnered significant research attention due to its
ability to manipulate biomaterials and cells to create complex structures precisely. However …
ability to manipulate biomaterials and cells to create complex structures precisely. However …