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Sergey Kolchenko
Sergey Kolchenko

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Towards Data Science

·Dec 18, 2020

The best approach to semantic segmentation of biomedical images

Intro. Semantic segmentation is a problem of computer vision in which our task is to assign a class to each pixel in the image using that image as an input. In the case of semantic segmentation, we don’t care if we have multiple instances (objects) of the same class, we simply…

Segmentation

6 min read

The best approach to semantic segmentation of biomedical images
The best approach to semantic segmentation of biomedical images
Segmentation

6 min read


Apr 25, 2019

Histopathologic cancer detection as image classification using Pytorch

A few weeks ago another kaggle (playground) competition has ended. Despite lack of any reward (neither money nor kaggle medals) a decent amount of people has participated. …

Machine Learning

5 min read

Histopathologic cancer detection as image classification using Pytorch
Histopathologic cancer detection as image classification using Pytorch
Machine Learning

5 min read


Feb 18, 2019

Machine Learning Meets Biology (once again) or Single Cell RNA Sequencing As a Field for Unsupervised Learning

In a past decade amount of data in biology skyrocketed, and there seems to be no limit for that, as we have more and more sequenced genomes, deeper RNA expression and epigenetics datasets. On a separate note, we have brilliant examples of the broad use of machine learning for protein…

Machine Learning

9 min read

Machine Learning Meets Biology (once again) or Single Cell RNA Sequencing As a Field for…
Machine Learning Meets Biology (once again) or Single Cell RNA Sequencing As a Field for…
Machine Learning

9 min read

Sergey Kolchenko

Sergey Kolchenko

78 Followers

MLE at Cellarity | Kaggle competitions master

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