Automated batch processing for tissue microscopy image data
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Updated
Jul 30, 2024 - Cool
Automated batch processing for tissue microscopy image data
Repository of code for deep learning approaches on WSIs, IHC, H&E, etc.
PathoPatcher is a Python project designed for accelerating Whole Slide Image Preprocessing, employing AI-based preprocessing techniques with features like annotation handling, color normalization, and configurable parameters
This repository is to showcase my experience in the field of medical visualization as a research assistant under the supervision of Prof. Dr. Sylvia Saalfeld.
The code for Kernel attention transformer (KAT)
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
DeeperHistReg - Source Code
[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
Integrative Spatial Analysis of H&E and IHC Images Identifies Prognostic Immune Subtypes correlated with Progression Free Survival in HPV-Related Oropharyngeal Squamous Cell Carcinoma
Python 3 Package for optimally sampling big images with texture-aware patchification based on SLIC superpixels. So Sleek !
Repository of MATLAB implemented image processing tools
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
AI competition for predicting Lymph node metastasis of breast cancer
Given an image of cells from a WSI, identify the mitotic figures and return a mitotic index.
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
This is a viewer app that provides using to zoom and pan tools Deep Zoom Image (dzi) or Whole Slide Image (wsi) using Electron JS and OpenSeaDragon .
Code of the visualization tool extracted from the BD-PATH website.
AI-based pathology predicts origins for cancers of unknown primary - Nature
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