A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)
-
Updated
Apr 16, 2020 - Python
#
invasive-ductal-carcinoma
Here are 6 public repositories matching this topic...
This repo contains source code for the paper: "Evaluating the Effectiveness of Stain Normalization Techniques in Automated Grading of Invasive Ductal Carcinoma Histopathological Images?"
-
Updated
Nov 27, 2023 - Jupyter Notebook
This paper conducts a performance comparative analysis on seven pre-trained CNN on IDC grading task.
-
Updated
Aug 29, 2023 - Python
This repository contains the source code for the IMAML-IDCG (ImageNet Model Agnostic Meta-learning for Invasive Ductal Carcinoma Grading)
-
Updated
Aug 30, 2024 - Jupyter Notebook
This repository provides a basic implementation for detecting IDC (Invasive Ductal Carcinoma) in histopathology images using the YOLO11 (You Only Look Once) object detection algorithm.
python machine-learning deep-learning neural-network image-processing image-classification breast-cancer-classification pre-trained-model invasive-ductal-carcinoma yolo11
-
Updated
May 28, 2025 - Jupyter Notebook
Statistical analysis to determine the dominant gene for Invasive Ductal Carcinoma (IDC)
-
Updated
Aug 2, 2022 - R
Improve this page
Add a description, image, and links to the invasive-ductal-carcinoma topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the invasive-ductal-carcinoma topic, visit your repo's landing page and select "manage topics."