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Aleksey Ushakov in Data Analysis Center

Feb 6, 2018

How to easily train a 3D U-Net or any other model for lung cancer segmentation.

3 responses

Alexander Koryagin in Data Analysis Center

Jan 14, 2022

Solving differential equations using neural networks with PyDEns

1 response

Egor Illarionov in Data Analysis Center

Nov 22, 2017

CardIO framework for deep research of electrocardiograms

This article introduces a framework that allows to build end-to-end machine learning models for deep research of electrocardiograms and provides ready-to-use methods for heart diseases detection. You will learn

2 responses

Alexander Koryagin in Data Analysis Center

Feb 1, 2018

Automatic lung-cancer detection on scans of Computed Tomography with RadIO

Lung cancer is the world’s deadliest cancer and it takes countless lives each year. Fortunately, early detection of the cancer can drastically improve survival rates. Computer-aided diagnostics could be…

3 responses

Kirill Emelyanov in Data Analysis Center

Feb 1, 2018

How to make CT-scan preprocessing fast and easy

Svetlana in Data Analysis Center

Apr 22, 2022

A practical approach to speed-up Python code (Numba, NumPy, CuPy)

Nowadays, Python is one of the most…

Dmitry Podvyaznikov in Data Analysis Center

Nov 22, 2017

Annotating ECG signals with Hidden Markov Model

Health is the most valuable resource

Altynanke in Data Analysis Center

Mar 27, 2023

Convolutions and Self-Attention or There and Back Again

Alexander Kuvaev in Data Analysis Center

Nov 22, 2017

Atrial fibrillation detection with a deep probabilistic model

Atrial fibrillation (also called AF or AFib) is the most common heart arrhythmia, occurring in about 2% of the world’s population. It is associated with significant mortality and morbidity from heart failure, dementia and…

1 response

Sergey Tsimfer in Data Analysis Center

Mar 2, 2021

Making Seismic Interpretation Easy with SeismiQB

For several years, Oil & Gas industry, just like many…

These were the top 10 stories published by Data Analysis Center; you can also dive into yearly archives: 2017, 2018, 2021, 2022, 2023, and 2024.

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Machine learning for Oil and Gas Exploration. Advanced methods to locate oil deposits

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