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mri_ai

This repository contains code that was used to train and evaluate deep learning models, as described in the article "Improving breast cancer diagnostics with artificial intelligence for MRI" by Jan Witowski et al.

mscda

mssa

Code for the paper Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars

mtms-med-seg-kd

Advancing Medical Image Segmentation Through Multi-Task and Multi-Scale Contrastive Knowledge Distillation

multi-database-dce-mri-breast-tumor-seg

oct-b-scans-segmentation

(EMBC 2019) Classification and Quantification of Retinal Cysts in OCT B-Scans: Efficacy of Machine Learning Methods

octaveunet

Applying Octave UNet for Retinal Vessel Segmentation.

octconv

toy script of octave convolution with Tensorflow

octconv_resnet

oct_resnet18

Rewriting Resnet18 with OctConv

radiomics_for_cem

rdn-tensorflow

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

rdn-tensorflow-1

the tf code of " Residual Dense Network for Image Super-Resolution"

retinal-fluid-segmentation

Segmentation of retinal fluid images with Capsular neural networks

retinal-segmentation-python

Segmentation of digital fundus images using an SVM supervised ML model

retinal-vessel-segmentation

基于深度学习的眼底血管分割算法研究

retinal-vessel-segmentation-1

S-UNet: A Bridge-Style U-Net Framework with a Saliency Mechanism for Retinal Vessel Segmentation

retinal-vessel-segmentation-2

Retinal Vessel Segmentation based on Fully Convolutional Networks

retinal-vessel-segmentation-3

Various methods for pixel-wise segmentation applied. University assignment at FIT BUT (FIT VUT) - Brno University of Technology

rlpa

Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection

sa-unet

The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

segmentation-information-with-attention-integration-for-classification-of-breast-tumor-in-ultrasound

A novel segmentation-to-classification scheme for breast ultrasound image classification

self-attention-gan-tensorflow

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

survival-deepmts

DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

tf.keras-commonly-used-models

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

v-gan-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

vesselsegmentation_eswa

Support repository for the paper "Retinal vessel segmentation based on Fully Convolutional Neural Networks", Expert Systems with Applications, Volume 112, 1 December 2018, Pages 229-242.

vgn

Deep Vessel Segmentation by Learning Graphical Connectivity