Pinned Repositories
ASAP
Program for the analysis and visualization of whole-slide images in digital pathology
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
create-ml-app
Template Makefile for ML projects in Python.
CV-Backbones
CV backbones including GhostNet, TinyNet and TNT.
deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
DigitalHistoPath
ImageProcessing
A wp7 that measures pulse using camera.
MIL-nature-medicine-2019
openseadragon
An open-source, web-based viewer for zoomable images, implemented in pure JavaScript.
PaintApp
Paint
dgonzMD's Repositories
dgonzMD/ImageProcessing
A wp7 that measures pulse using camera.
dgonzMD/PaintApp
Paint
dgonzMD/ASAP
Program for the analysis and visualization of whole-slide images in digital pathology
dgonzMD/DigitalHistoPath
dgonzMD/MIL-nature-medicine-2019
dgonzMD/openseadragon
An open-source, web-based viewer for zoomable images, implemented in pure JavaScript.
dgonzMD/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
dgonzMD/create-ml-app
Template Makefile for ML projects in Python.
dgonzMD/CV-Backbones
CV backbones including GhostNet, TinyNet and TNT.
dgonzMD/deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
dgonzMD/DeepPATH
Classification of Lung cancer slide images using deep-learning
dgonzMD/deepslide
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.
dgonzMD/digital_slide_archive
The official deployment of the Digital Slide Archive and HistomicsTK.
dgonzMD/DSA-WSI-DeID
A workflow for redacting PHI from whole slide images (WSI) based on the Digital Slide Archive.
dgonzMD/ERG-Gene-Fusion-Status-Prostate-Cancer
Supplemental code for "Leveraging Artificial Intelligence to Predict ERG Gene Fusion Status in Prostate Cancer"
dgonzMD/face_detection
dgonzMD/FAIRY
Fast and Scalable Image Search for Histology
dgonzMD/histomics_stream
A whole-slide image reader for TensorFlow
dgonzMD/HistomicsTK
A Python toolkit for pathology image analysis algorithms.
dgonzMD/HistomicsUI
A Girder plugin for pathology image annotations and analysis.
dgonzMD/MCSpatNet
Repository for ICCV2021 MCSpatNet: Multi-Class Cell Detection Using Spatial Context Representation
dgonzMD/mtcnn
MTCNN face detection implementation for TensorFlow, as a PIP package.
dgonzMD/Patch-GCN
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
dgonzMD/PathFlowAI
A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology
dgonzMD/PathomicFusion
Fusing Histology and Genomics via Deep Learning - IEEE TMI
dgonzMD/pcam
The PatchCamelyon (PCam) deep learning classification benchmark.
dgonzMD/scikit-learn
scikit-learn: machine learning in Python
dgonzMD/slides_to_tiles
dgonzMD/tcga_segmentation
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024