Whole slide image understanding in pathology: what is the salient scale of analysis?
E Jenkinson, O Arandjelović - BioMedInformatics, 2024 - mdpi.com
Background: In recent years, there has been increasing research in the applications of
Artificial Intelligence in the medical industry. Digital pathology has seen great success in …
Artificial Intelligence in the medical industry. Digital pathology has seen great success in …
Quantitative evaluation of myocardial layer-specific strain using two-dimensional speckle tracking echocardiography among young adults with essential hypertension …
L Xu, N Wang, X Chen, Y Liang, H Zhou, J Yan - Medicine, 2018 - journals.lww.com
Quantitative evaluation of myocardial layer-specific strain... : Medicine Quantitative evaluation
of myocardial layer-specific strain using two-dimensional speckle tracking echocardiography …
of myocardial layer-specific strain using two-dimensional speckle tracking echocardiography …
Adaptively denoising proposal collection for weakly supervised object localization
In this paper, we address the problem of weakly supervised object localization, which trains
a detection network on the dataset with only image-level annotations. The proposed …
a detection network on the dataset with only image-level annotations. The proposed …
Artificial intelligence modelling in differentiating core biopsies of fibroadenoma from phyllodes tumor
CL Cheng, ND Md Nasir, GJZ Ng, KWJ Chua… - Laboratory …, 2022 - nature.com
Breast fibroepithelial lesions (FEL) are biphasic tumors which consist of benign
fibroadenomas (FAs) and the rarer phyllodes tumors (PTs). FAs and PTs have overlapping …
fibroadenomas (FAs) and the rarer phyllodes tumors (PTs). FAs and PTs have overlapping …
Attention-driven tree-structured convolutional LSTM for high dimensional data understanding
Modeling sequential information for image sequences is a vital step of various vision tasks
and convolutional long short-term memory (ConvLSTM) has demonstrated its superb …
and convolutional long short-term memory (ConvLSTM) has demonstrated its superb …
[图书][B] Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed
proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was …
proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was …
Applying Bayesian network approach to determine the association between morphological features extracted from prostate cancer images
Cancer is a major public health problem across the globe due to which millions of deaths
occur every year. In the United States, prostate cancer is the second leading cause of cancer …
occur every year. In the United States, prostate cancer is the second leading cause of cancer …
Deep learning models for digital pathology
A BenTaieb, G Hamarneh - arXiv preprint arXiv:1910.12329, 2019 - arxiv.org
Histopathology images; microscopy images of stained tissue biopsies contain fundamental
prognostic information that forms the foundation of pathological analysis and diagnostic …
prognostic information that forms the foundation of pathological analysis and diagnostic …
Magnifying networks for images with billions of pixels
N Dimitriou, O Arandjelovic - arXiv preprint arXiv:2112.06121, 2021 - arxiv.org
The shift towards end-to-end deep learning has brought unprecedented advances in many
areas of computer vision. However, deep neural networks are trained on images with …
areas of computer vision. However, deep neural networks are trained on images with …
Alzheimer's disease classification using distilled multi-residual network
X Liang, Z Wang, Z Chen, X Song - Applied Intelligence, 2023 - Springer
Early human intervention is crucial for diagnosing Alzheimer's Disease (AD), since AD is
irreversible and leads to progressive impairment of memory. In recent years, Convolutional …
irreversible and leads to progressive impairment of memory. In recent years, Convolutional …