whole slide images

181 papers with code • 0 benchmarks • 4 datasets

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Use these libraries to find whole slide images models and implementations

Most implemented papers

PanNuke Dataset Extension, Insights and Baselines

TIA-Lab/PanNuke-metrics 24 Mar 2020

The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in whole-slide images (WSIs) of cancerous tissue slides.

Deep Learning for Identifying Metastatic Breast Cancer

3dimaging/DeepLearningCamelyon 18 Jun 2016

The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole slide images of sentinel lymph node biopsies.

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides

ChristianMarzahl/EIPH_WSI 12 Aug 2019

Additionally, we evaluated object detection methods on a novel data set of 17 completely annotated cytology whole slide images (WSI) containing 78, 047 hemosiderophages.

A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

MIDA-group/OralScreen 23 Oct 2019

The pipeline consists of fully convolutional regression-based nucleus detection, followed by per-cell focus selection, and CNN based classification.

EXACT: A collaboration toolset for algorithm-aided annotation of images with annotation version control

ChristianMarzahl/Exact 30 Apr 2020

In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation.

Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning

binli123/dsmil-wsi CVPR 2021

We propose a MIL-based method for WSI classification and tumor detection that does not require localized annotations.

Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors

DeepPathology/CCMCTBiMultinucleated 5 Jan 2021

For this study, we created the first open source data-set with 19, 983 annotations of BiNC and 1, 416 annotations of MuNC in 32 histological whole slide images of ccMCT.

Fast and Scalable Image Search For Histology

mahmoodlab/FISH 28 Jul 2021

Similar pathology image search offers the opportunity to comb through large historical repositories of gigapixel WSIs to identify cases with similar morphological features and can be particularly useful for diagnosing rare diseases, identifying similar cases for predicting prognosis, treatment outcomes, and potential clinical trial success.

Code-free development and deployment of deep segmentation models for digital pathology

AICAN-Research/FAST-Pathology 16 Nov 2021

Application of deep learning on histopathological whole slide images (WSIs) holds promise of improving diagnostic efficiency and reproducibility but is largely dependent on the ability to write computer code or purchase commercial solutions.

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

uit-hdl/histology 14 Feb 2022

Our approach is to transfer an open source machine learning method for segmentation and classification of nuclei in H&E slides trained on public data to TIL quantification without manual labeling of our data.