Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images
Advances in computational algorithms and tools have made the prediction of cancer patient
outcomes using computational pathology feasible. However, predicting clinical outcomes …
outcomes using computational pathology feasible. However, predicting clinical outcomes …
[HTML][HTML] Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
M Tafavvoghi, LA Bongo, N Shvetsov… - Journal of Pathology …, 2024 - Elsevier
Advancements in digital pathology and computing resources have made a significant impact
in the field of computational pathology for breast cancer diagnosis and treatment. However …
in the field of computational pathology for breast cancer diagnosis and treatment. However …
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression–morphology analysis in breast cancer
Molecular profiling is central in cancer precision medicine but remains costly and is based
on tumor average profiles. Morphologic patterns observable in histopathology sections from …
on tumor average profiles. Morphologic patterns observable in histopathology sections from …
Unsupervised histological image registration using structural feature guided convolutional neural network
Registration of multiple stained images is a fundamental task in histological image analysis.
In supervised methods, obtaining ground-truth data with known correspondences is …
In supervised methods, obtaining ground-truth data with known correspondences is …
Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
J Albers, A Svetlove, J Alves, A Kraupner, F di Lillo… - Scientific Reports, 2021 - nature.com
Although X-ray based 3D virtual histology is an emerging tool for the analysis of biological
tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the …
tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the …
[HTML][HTML] RegWSI: Whole slide image registration using combined deep feature-and intensity-based methods: Winner of the ACROBAT 2023 challenge
Background and objective The automatic registration of differently stained whole slide
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …
End-to-end affine registration framework for histopathological images with weak annotations
Y Lin, Z Liang, Y He, W Huang, T Guan - Computer Methods and Programs …, 2023 - Elsevier
Abstract Background and Objective Histopathological image registration is an essential
component in digital pathology and biomedical image analysis. Deep-learning-based …
component in digital pathology and biomedical image analysis. Deep-learning-based …
[HTML][HTML] Deep learning based registration of serial whole-slide histopathology images in different stains
For routine pathology diagnosis and imaging-based biomedical research, Whole-slide
image (WSI) analyses have been largely limited to a 2D tissue image space. For a more …
image (WSI) analyses have been largely limited to a 2D tissue image space. For a more …
Deep feature based cross-slide registration
Registration of multiple sections in a tissue block is an important pre-requisite task before
any cross-slide image analysis. Non-rigid registration methods are capable of finding …
any cross-slide image analysis. Non-rigid registration methods are capable of finding …
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images
Manual screening of large-scale histopathological images is an extremely time-consuming,
laborious and subjective procedure. Accurate evaluation of diagnostic information from multi …
laborious and subjective procedure. Accurate evaluation of diagnostic information from multi …