Fast scannet: Fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection
Lymph node metastasis is one of the most important indicators in breast cancer diagnosis,
that is traditionally observed under the microscope by pathologists. In recent years, with the …
that is traditionally observed under the microscope by pathologists. In recent years, with the …
Scannet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image
Lymph node metastasis is one of the most significant diagnostic indicators in breast cancer,
which is traditionally observed under the microscope by pathologists. In recent years …
which is traditionally observed under the microscope by pathologists. In recent years …
Cancer metastasis detection with neural conditional random field
Breast cancer diagnosis often requires accurate detection of metastasis in lymph nodes
through Whole-slide Images (WSIs). Recent advances in deep convolutional neural …
through Whole-slide Images (WSIs). Recent advances in deep convolutional neural …
Cancer metastasis detection via spatially structured deep network
Metastasis detection of lymph nodes in Whole-slide Images (WSIs) plays a critical role in the
diagnosis of breast cancer. Automatic metastasis detection is a challenging issue due to the …
diagnosis of breast cancer. Automatic metastasis detection is a challenging issue due to the …
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
G Litjens, P Bandi, B Ehteshami Bejnordi… - …, 2018 - academic.oup.com
Background The presence of lymph node metastases is one of the most important factors in
breast cancer prognosis. The most common way to assess regional lymph node status is the …
breast cancer prognosis. The most common way to assess regional lymph node status is the …
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
With the increasing ability to routinely and rapidly digitize whole slide images with slide
scanners, there has been interest in developing computerized image analysis algorithms for …
scanners, there has been interest in developing computerized image analysis algorithms for …
Reinforced auto-zoom net: towards accurate and fast breast cancer segmentation in whole-slide images
Convolutional neural networks have led to significant breakthroughs in the domain of
medical image analysis. However, the task of breast cancer segmentation in whole-slide …
medical image analysis. However, the task of breast cancer segmentation in whole-slide …
Pathtr: Context-aware memory transformer for tumor localization in gigapixel pathology images
With the development of deep learning and computation pathology, whole-slide images
(WSIs) are wildly used in clinical diagnosis. The WSI, which refers to the scanning of …
(WSIs) are wildly used in clinical diagnosis. The WSI, which refers to the scanning of …
Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings
SC Huang, CC Chen, J Lan, TY Hsieh… - Nature …, 2022 - nature.com
The pathological identification of lymph node (LN) metastasis is demanding and tedious.
Although convolutional neural networks (CNNs) possess considerable potential in …
Although convolutional neural networks (CNNs) possess considerable potential in …
Detection of metastatic breast cancer from whole-slide pathology images using an ensemble deep-learning method: detection of breast cancer using deep-learning
Background: Metastasis is the main cause of death toll among breast cancer patients. Since
current approaches for diagnosis of lymph node metastases are time-consuming, deep …
current approaches for diagnosis of lymph node metastases are time-consuming, deep …