Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks
A Cruz-Roa, A Basavanhally… - Medical Imaging …, 2014 - spiedigitallibrary.org
This paper presents a deep learning approach for automatic detection and visual analysis of
invasive ductal carcinoma (IDC) tissue regions in whole slide images (WSI) of breast cancer …
invasive ductal carcinoma (IDC) tissue regions in whole slide images (WSI) of breast cancer …
An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images
Unlike daily routine images, ultrasound images are usually monochrome and low-resolution.
In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in …
In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in …
Grading of invasive breast carcinoma through Grassmannian VLAD encoding
In this paper we address the problem of automated grading of invasive breast carcinoma
through the encoding of histological images as VLAD (Vector of Locally Aggregated …
through the encoding of histological images as VLAD (Vector of Locally Aggregated …
Computer aided breast cancer detection using ensembling of texture and statistical image features
Breast cancer, like most forms of cancer, is a fatal disease that claims more than half a
million lives every year. In 2020, breast cancer overtook lung cancer as the most commonly …
million lives every year. In 2020, breast cancer overtook lung cancer as the most commonly …
A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision
Y Zeng, J Zhang - Computers in biology and medicine, 2020 - Elsevier
Objectives This study is aimed to assess the feasibility of AutoML technology for the
identification of invasive ductal carcinoma (IDC) in whole slide images (WSI). Methods The …
identification of invasive ductal carcinoma (IDC) in whole slide images (WSI). Methods The …
Deep learning algorithms are used to automatically detection invasive ducal carcinoma in whole slide images
This paper proposes a profound learning approach in Whole-slide images of breast cancer
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: a case study on early-stage diagnosis of Parkinson disease
G Singh, L Samavedham - Journal of neuroscience methods, 2015 - Elsevier
Background The development of MRI based methods could prove extremely valuable for
identification of reliable biomarkers to aid diagnosis of neurodegenerative diseases (NDs). A …
identification of reliable biomarkers to aid diagnosis of neurodegenerative diseases (NDs). A …
3E-Net: Entropy-based elastic ensemble of deep convolutional neural networks for grading of invasive breast carcinoma histopathological microscopic images
Automated grading systems using deep convolution neural networks (DCNNs) have proven
their capability and potential to distinguish between different breast cancer grades using …
their capability and potential to distinguish between different breast cancer grades using …
Efficient deep learning architecture for detection and recognition of thyroid nodules
J Ma, S Duan, Y Zhang, J Wang, Z Wang… - Computational …, 2020 - Wiley Online Library
Ultrasonography is widely used in the clinical diagnosis of thyroid nodules. Ultrasound
images of thyroid nodules have different appearances, interior features, and blurred borders …
images of thyroid nodules have different appearances, interior features, and blurred borders …
Pathologic liver tumor detection using feature aligned multi-scale convolutional network
TL Yang, HW Tsai, WC Huang, JC Lin, JB Liao… - Artificial intelligence in …, 2022 - Elsevier
The detection of the most common type of liver tumor, that is, hepatocellular carcinoma
(HCC), is one essential step to liver pathology image analysis. In liver tissue, common cell …
(HCC), is one essential step to liver pathology image analysis. In liver tissue, common cell …