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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

ademxapp

Code for https://arxiv.org/abs/1611.10080

amazon_forest_computer_vision

Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

applied-dl-2018

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

brats

Brain Tumor Segmentation

casitlab

读研不迷茫。。。。

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

chinese-sentiment-analysis

gensim-word2vec+svm文本情感分析

clr

cnn-fixations

Visualising predictions of deep neural networks

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-for-drug-protein-interactions

A Python implementation for training a neural network for predicting drug-protein interactions using Keras and Tensorflow

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-neural-networks-healthcare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deepcellseg

deeplabv2-keras

DeeplabV2 segmentation in Keras

deeplearning-biology

A list of deep learning implementations in biology

dilation

Dilated Convolution for Semantic Image Segmentation

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

focusing-attention-of-fully-convolutional-neural-networks-on-region-of-interest-roi-input-map-

This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based on using region selective features This code was tested on for semantic segmentation task of materials in transparent vessels where the vessel area of the image was set as the ROI.

icml-2017-papers

https://2017.icml.cc/Conferences/2017/Schedule

jsrt-parser

This is a data parser to obtain images and descriptions from JSRT database in a uniform format for deep learning applications.

keras-contrib

Keras community contributions

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks