histopathology Goto Github PK

.github

3d_prostate

3D digital pathology of prostate glands

adp

Atlas of Digital Pathology for Deep Learning [CVPR2019]

ai-ffpe

Deep Learning-based Frozen Section to FFPE Translation

amyloid

ImageJ script to enhance the detection of amyloid in CR fluorescence

anonymize-slide

Delete the label from a whole-slide image

anonymize-slide-python3

Delete the label image to deidentify a whole-slide image (WSI)

anonymize-slide-python3-gui

Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI

asap

Program for the analysis and visualization of whole-slide images in digital pathology

assessing-unsupervised-pretraining-for-improving-prediction-in-digital-pathology

automated-nuclei-detection-in-breast-cancer-histopathology-images

A Deep Learning plus Image Processing model trained to detect Nuclei in a given Breast Cancer Histopathology Image

awesome-bioimage-analysis-challenges

A list of awesome bioimage analysis challenges

awesome-biological-image-analysis

A curated list of softwares, tools, pipelines, plugins etc. for image analysis related to biological questions.

awesome-cell-detection-segmentation

nucleus/cell and histopathology image classification,detection,segmentation

awesome-deep-learning-for-histopathology

awesome-deep-learning-for-histopathology

basic-breast-cancer-histopathology-images-classification-

bcss

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

bia-bob

BIA Bob is a Jupyter+chatGPT/Gemini-based assistant for interacting with image data and for working on Bio-image Analysis tasks.

bioformats2raw

Bio-Formats image file format to raw format converter

bioimageanalysisnotebooks

bioimager

A .NET microscopy imaging application based on Bio library. Supports various microscopes by using imported libraries & GUI automation. Supports XInput game controllers to move stage, take images, run ImageJ macros on images or Bio C# scripts.

breast-cancer-analyzer

Ai powered web app to detect Metastatic Cancer and Invasive Ductal Carcinoma in histopathology tissue images - Tensorflow.js

breast-cancer-classification

Classification of Breast Histopathology Images using TensorFlow and Keras. Dataset from Kaggle.

breast-cancer-classification-on-histopathology-images

Breast cancer is one of the common known cancer and IDC is the most common form of breast cancer. It is very important to identify and categorize breast cancer subtypes and methods which can do so automatically can not only save time but also help reduce errors identifying. As my interest in deep learning grows, it was only practical to use deep learning techniques to aid pathologist to help predict breast cancer.

breast-cancer-deep-learning

initial commit

breast-cancer-detection-using-deep-learning

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

breast-cancer-histopathology

Convolutional neural network development to detect IDC in breast tissue samples

breast-epithelium-segmentation

🌸 Breast epithelium segmentation through IHC-guided supervision

breast-histopathology

This repository contains a visual recognition machine learning project that utilizes a convolutional neural network to detect the aggressiveness of Invasive Ductal Carcinoma (IDC) in magnified breast cancer histopathology images. Aggressiveness scores are outputted as the percentage of IDC positive subpatches out of the total number of subpatches.

breastcancer_classification

Machine learning classifier for cancer tissues