deepslide
Microscopy classifier
Classifies high-resolution microscopy images of lung adenocarcinoma using deep neural networks with a sliding window framework.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
494 stars
18 watching
140 forks
Language: Python
last commit: 9 months ago
Linked from 1 awesome list
cancerhistopathology-imageslungmedical-image-analysismicroscopypathology-imageresnetsliding-windowswsi
Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning framework trained on a large biological image dataset to learn taxonomic labels and classify images. | 174 |
| Detects cancer metastasis in whole slide images using deep learning and conditional random fields | 757 |
| An image classification project using ResNet to identify fungal species based on uploaded images. | 69 |
| Automated 3D cell detection tool for large images in microscopy and neuroscience research | 181 |
| Toolbox for improving digital images taken with fluorescence microscopy using deep learning algorithms | 287 |
| Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
| Analyzes 3D cell shape features using deep learning for cancer research | 21 |
| Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. | 94 |
| An image deblurring technique based on frequency selection using machine learning models | 18 |
| A Python-based deep learning model for breast cancer classification from mammography images | 849 |
| Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
| An image classification model using a third-generation deep residual network. | 27 |
| This project uses deep learning to analyze chest radiographs and diagnose COVID-19. | 50 |
| An implementation of a deep learning-based tool for single-molecule localization microscopy with high accuracy and speed. | 96 |