QuPath - Bioimage analysis & digital pathology
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Updated
May 25, 2024 - Java
QuPath - Bioimage analysis & digital pathology
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
A collection of R scripts to analyze toxicologic path data
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
Fine-tuning BLIP for pathological visual question answering.
Accelerate ingestion/transformation of pathology images into DICOMWeb
Tools for computational pathology
Library for Digital Pathology Image Processing
In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.
A basic GUI Malaria Diagnosis Tool (MDT) to help lab scientists find the probable type of malaria a patient may have based on the country they come form / country they are in.
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024)
Convert PatchCamelyon dataset to png images.
My Notes related to Pathology and ParaPathology
CoRA Docs
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
A simple python program to organize a digital slide collection as an SQLite database
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