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fpn_resnet-resnet-se-resnet-cbam

fpn_resnet、resnet-se、resnet-cbam

gancs

Compressed Sensing MRI based on Deep Generative Adversarial Network

gbm-robustradiomics

Code accompanying the paper "Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques"

healthcheck

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

image_retrieval_platform

This is an simple image retrieval platform by CNN based on pytorch and flask.

imageretrieval

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

imageretrieval-1

Based on Pytorch and Flask, thanks to the image_retrieval_platform

iot-machine_learning-flutter-flask-keras-arduino_esp32

Esp32 den gelen verileri Flask ile Kurulan Server a atarak gelen veriye işlemler yaptırmak ya da Flutter ile Nodemcuyu Kontrol Etmek amaç, Cloud kısmı ise Machine Learning kısmı ile birleşmiş olucak...

keras-segmentation-deeplab-v3.1

An awesome semantic segmentation model that runs in real time

medicalimageretrieval

仿viziometrics做的一个医学图像检索网页

mmal-net

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

mmd_vae

This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia"

moneyprinter

Automate Creation of YouTube Shorts using MoviePy.

moneyprinterturbo

利用大模型，一键生成短视频

mri-variationalnetwork

Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

mri_segmentation_radiomics

MRI-based Deep Learning Segmentation and Radiomics of Sarcoma Tumors in Mice

multi-task-deep-network

Usage of Multi-task deep learning network for semantic segmentation in medical images

mura

Classification, localization and image retrieval on MURA dataset

neurdicom

RESTful PACS server with plugins

nutrihelp

An android application to predict risks of getting Diabetes like major health issues.

onco

ONCO is a cancer diagnosis/prognosis mobile application focused on the 3 main cancers of the thoracic region (Breast, Lung & Skin)

physionet2017

PhysioNet 2017 Entry: AF Classification from a short single lead ECG recording

py-ecg-detectors

Popular ECG R peak detectors written in python

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

python-dlpy

The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.

pytorch-mask-rcnn

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

qrs-detection

Q,R,S, detection from ECG

r-peak-detector-using-cnn-s

An Convolutional Neural Network Model which detects R-Peaks from ECG Signals