srmedinac
BME PhD student- Madabhushi Lab, Emory University and Georgia Institute of Technology
Emory University and Georgia TechAtlanta, GA
srmedinac's Stars
DIAGNijmegen/HoVer-UNet
sottorivalab/FORECAST_cell_classification
choosehappy/HoverFast
Blazing fast nuclei segmentation for brightfield Whole Slide Images
eliahuhorwitz/Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
vqdang/hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
EIDOSLAB/torchstain
Stain normalization tools for histological analysis and computational pathology
MCG-NJU/VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
choosehappy/HistoQC
HistoQC is an open-source quality control tool for digital pathology slides
choosehappy/CohortFinder
Intelligent data partitioning using quality control metrics
bowang-lab/MedSAM
Segment Anything in Medical Images
fagonzalezo/kdm
Kernel Density Matrices Python library
TissueImageAnalytics/cerberus
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
pjl54/WSI_handling
Class for getting ROIs and masks from annotated pyramidal images. A work in progress.
jopo666/HistoPrep
Preprocessing module for large histological images
fagonzalezo/quakemix
Quantum Kernel Mixtures Python library
roboflow/dji-aerial-georeferencing
Detect objects in drone videos and plot them on a map
Raschka-research-group/coral-pytorch
CORAL and CORN implementations for ordinal regression with deep neural networks.
Raschka-research-group/coral-cnn
Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
lucasrla/wsi-tile-cleanup
Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
mahmoodlab/PORPOISE
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
mahmoodlab/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
DIAGNijmegen/pathology-streaming-pipeline
Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
python/cpython
The Python programming language
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
nateraw/huggingpics
🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
qubvel/ttach
Image Test Time Augmentation with PyTorch!
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
gordicaleksa/pytorch-deepdream
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
kentaroy47/Kaggle-PANDA-1st-place-solution
1st place solution for the Kaggle PANDA Challenge
ahmetozlu/tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!