-
Updated
Mar 11, 2022 - Python
#
pathology
Here are 106 public repositories matching this topic...
Cancer metastasis detection with neural conditional random field (NCRF)
QuPath - Bioimage analysis & digital pathology
groovy
opencv
machine-learning
imagej
javafx
image-processing
histology
cell-segmentation
bioimage-informatics
digital-pathology
pathology
whole-slide-imaging
cell-analysis
computational-pathology
bioimage-analysis
tissue-microarray-analysis
-
Updated
Apr 29, 2022 - Java
The PatchCamelyon (PCam) deep learning classification benchmark.
-
Updated
Apr 28, 2020 - Python
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
deep-learning
tcga-data
weakly-supervised-learning
bioimage-informatics
clam
pathology
whole-slide-imaging
computational-pathology
camelyon16
histopathology
camelyon17
data-efficient
mahmoodlab
-
Updated
Apr 14, 2022 - Python
Tools for computational pathology
machine-learning
image-analysis
microscopy
biomedical-image-processing
fluorescence-microscopy-imaging
digital-pathology
pathology
computational-pathology
spatial-transcriptomics
histopathology
-
Updated
Apr 26, 2022 - Python
cGAN-based Multi Organ Nuclei Segmentation
-
Updated
May 8, 2019 - Python
Fusing Histology and Genomics via Deep Learning - IEEE TMI
genomics
fusion
transcriptomics
pathology
multimodal
histopathology
computational-pathogenomics
pathomic
multimodal-network
mahmoodlab
-
Updated
Mar 4, 2022 - Jupyter Notebook
AI-based pathology predicts origins for cancers of unknown primary - Nature
deep-learning
cup
deep
cancer-imaging-research
cancer-research
histology
bioimage-informatics
pathology
cancer-detection
bioimage-analysis
toad
histopathology
wsi-images
mahmoodlab
unknown-primary
-
Updated
Nov 1, 2021 - Python
Histocartography is a framework bringing together AI and Digital Pathology
-
Updated
Mar 24, 2022 - Python
Evidence SARS-CoV-2 Emerged From a Biological Laboratory in Wuhan, China
-
Updated
May 21, 2020 - HTML
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
-
Updated
May 8, 2022 - Python
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
tcga
medical-imaging
segmentation
image-segmentation
tcga-data
weakly-supervised-learning
miccai
pathology
whole-slide-imaging
wsi
computational-pathology
multiple-instance-learning
tumor-segmentation
histopathology
data-efficient
slide-image-segmentation
-
Updated
Aug 5, 2021 - Python
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
-
Updated
Mar 11, 2022 - Python
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22]
deep-learning
pytorch
segmentation
multiplex
immunohistochemical-images
cell-segmentation
pathology
cell-biology
cloud-native-applications
multitask-learning
pathology-image
pathology-gan
immunohistochemistry
-
Updated
Apr 26, 2022 - Python
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
-
Updated
Aug 30, 2019 - Python
Whole Slide Digital Pathology Image Tissue Localization
-
Updated
Mar 11, 2022 - Python
Digital Pathology Whole Slide Image Analysis Toolbox
-
Updated
Apr 13, 2021 - Python
Open
Make WSI iterable
jamesdolezal
commented
Apr 21, 2022
Feature
Currently, WSI objects use a .build_generator() method to iterate through image tiles from the slide. For ease of use, WSI objects should be directly iterable.
Pitch
Iterable WSI objects which return ((loc_x, loc_y), image) for each image in the slide.
Alternatives
The current alternative is to call WSI.build_generator(), which is non-obvious to the end us
Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
-
Updated
Mar 22, 2019 - Python
CoRA Docs
data-science
data-visualization
forensics
dna
data-analytics
anomaly
isotopes
anthropology
missing-persons
bones
commingled-human-remains
pathology
osteology
trauma
cora
articulations
human-remains
pair-matching
specimens
haplogroups
-
Updated
Dec 1, 2021 - HTML
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
python
machine-learning
ai
deep-learning
inference
dicom
pytorch
healthcare
medical-imaging
fhir
guidelines
radiology
pathology
open-standard
mlops
ml-platform
monai
ai-application-development
ai-application-deployment
-
Updated
May 5, 2022
Raccoon is a NoSQL-based medical image archive for managing the DICOM images.
mongodb
fhir-server
dicomweb
qido-rs
bluelight
wado-uri
pathology
wsi
fhir-resources
fhir-imagingstudy
-
Updated
May 3, 2022 - JavaScript
Repo for Tang et al, bioRxiv 454793 (2018)
machine-learning
deep-learning
convolutional-neural-networks
immunohistochemical-images
alzheimers-disease
dementia
saliency-map
pathology
medical-image-analysis
plaques
explainable-ai
interpretable-machine-learning
amlyoid-plaques
-
Updated
Mar 24, 2019 - Jupyter Notebook
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
-
Updated
Dec 22, 2020 - Jupyter Notebook
Federated Learning for Computational Pathology - Medical Image Analysis
-
Updated
Feb 9, 2022 - Python
a toolbox for manipulation of digital pathology slides and annotations
-
Updated
Aug 11, 2020 - Jupyter Notebook
Fast and Scalable Image Search for Histology
fish
deep-learning
image-retrieval
histology
bioimage-informatics
pathology
bioimage-analysis
image-search-engine
histopathology
vqvae
wsi-images
mahmoodlab
-
Updated
Apr 13, 2022 - Python
Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
-
Updated
Mar 20, 2022 - Python
Improve this page
Add a description, image, and links to the pathology topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pathology topic, visit your repo's landing page and select "manage topics."


Describe the bug
LocalOtsuThresholdshould return a binary mask asnp.ndarray, like its "sibling"OtsuThresholdnp_to_pilbefore returning, butthreshold_to_mask(likeOtsuThreshold)LocalOtsuThresholdandlocal_otsu_thresholdare different, while they should be the same.