merveceyhan's Stars
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
adap/flower
Flower: A Friendly Federated Learning Framework
google-parfait/tensorflow-federated
An open-source framework for machine learning and other computations on decentralized data.
sfikas/medical-imaging-datasets
A list of Medical imaging datasets.
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)
AIM-Harvard/pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
dotnet/dotnet-console-games
Game examples implemented as .NET console applications primarily for providing education and inspiration. :)
Tessellate-Imaging/monk_v1
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
giakoumoglou/pyfeats
Open source software for image feature extraction.
slds-lmu/seminar_multimodal_dl
https://slds-lmu.github.io/seminar_multimodal_dl/
gevaertlab/MultimodalPrognosis
Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction
monk1337/Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
luisvalesilva/multisurv
Multimodal deep learning model for long-term cancer survival prediction
vijayg15/Keras-MultiClass-Image-Classification
Multiclass image classification using Convolutional Neural Network
iremakalp/Plant_Disease_Detection
This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".
albarqouni/Federated-Learning-In-Healthcare
A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.
rezacsedu/Multimodal-autoencoder-for-breast-cancer
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
taznux/radiomics-tools
Image processing tools for radiomics analysis
mahmoodlab/multimodal-cancer-origin-prediction
Deep learning-based multimodal integration of histology and genomics to improves cancer origin prediction
hotcode002/just_enough_python
Just enough Python for Data Science, Machine Learning, Deep Learning and AI
choilab-jefferson/LungCancerScreeningRadiomics
Lung cancer screening radiomics
KimiaLabMayo/kimia_path24
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings
hashimsayed0/self-omics
A self-supervised learning framework for multi-omics cancer data
cla-cif/Cherry-Powdery-Mildew-Detector
A tool to detect powdery mildew in cherry leaves
mshouzebsaleem77/Image-Classification-using-CNN
Binary Classification
amaljova/DICOM-Radiomics
Helpful scripts for radiomics researchers. Collect all the DICOM metadata into .csv and .pkl files which can be used to scrutinize/ inspect your data. Crate an organized DICOM directory from an existing folder. Automatically extract radiomic features from a directory of DICOM files.
mounikpatel/plant-disease-detection
detecting disease in plants' leaves using transfer learning: Inception v3 model.
samplecm/dicom_to_nrrd
Simple program for converting dicom images and structure sets to nrrd files. This will create mask images of structures corresponding to an image series, and exported nrrd files can then be used for pyradiomics.
cserajdeep/Plant-Disease-Detection
It is an offline classification of plant diseases using a transfer learning model
sayan0506/Attention-based-Rice-Leaf-Disease-Classification-Model
Rice Leaf Disease Classification using Convolution Bottleneck Attention Model