pathology-image

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.

BIRL: Benchmark on Image Registration methods with Landmark validations

🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area

Whole slide digital pathology image tissue localization

BrainPainter - Brain Visualisation Software

LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

Deep Learning Inferred Multiplex ImmunoFluoroscence for IHC Quantification

Preprocessing module for large histological images

Kaggle's Histopathologic Cancer Detector

The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.

Noise Robust Learning with Hard Example Aware for Pathological Image classification

Python library for pathology image analysis

Our solution for BreastPathQ cancer cellularity challenge

A speedy Android app system that efficiently delivers diagnostic information written by pathologists to their fellow doctors. Won First Prize at IETE's Inter-college Competition from amongst 130+ teams

A multi-resolution CNN package to predict endometrial cancer features

Creating a Crowd sourcing platform to label pathological images. These images are first downloaded from internet using Twitter APIs and then passed through a deep learning model which filter or separate 'Pathological' & 'Non-Pathological' Images.

A multi-resolution CNN to predict endometrial cancer features