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3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

adl_cancer_detection

arctic-captions

audio-data-augmentation

Audio data augmentation examples

breast-cancer-detection-using-deep-learning

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

cxr

chest x-ray exploration with python

data-science

:bar_chart: Path to a free self-taught education in Data Science!

deep-learning-on-cell-classification

Deep learning models for cell classification

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

dicom-image-analysis

google-interview-university

A complete daily plan for studying to become a Google software engineer.

iciar2018

Our solution for ICIAR 2018 Grand Challenge

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

mil-nature-medicine-2019

ml-keras-hackerearth-wbc-segmentation

Code for WBC Segementation, a hackerearth compeition held by sigtuple

pathomics_analysis

Joint pathological and genetics analysis

projects

A list of practical projects that anyone can solve in any programming language.

py-wsi

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

schoolofaibang_s4linearalgebra

staintools

Tools for tissue image stain normalization and augmentation in Python 3. [python, scientific]

starter-web

Simple starting point website project based upon Initializr

u24_lymphocyte