Histolab: an Open Source Python Library for Reproducible Digital Pathology
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Python • November 2021
Histolab: an Open Source Python Library for Reproducible Digital Pathology
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Histolab: an Open Source Python Library for Reproducible Digital Pathology
About

The histo-pathological analysis of tissue sections is the gold standard to assess the presence of many complex diseases, such as tumors and it is expected to be at the center of the AI revolution in medicine, prevision supported by the increasing success of deep learning applications to digital pathology. The aim of histolab is to provide a tool for Whole Slide Images (WSIs) processing in a reproducible environment to support clinical and scientific research. histolab is designed to handle WSIs, automatically detect the tissue, and retrieve informative tiles.
Consulta il materiale della speaker:
https://www.slideshare.net/AlessiaMarcolini/histolab-an-open-source-python-library-for-reproducible-digital-pathology

Language
English
Level
Beginner
Length
24 minutes
Type
online conference
About the speaker
About the speaker
Alessia Marcolini
Junior Data ScientistHK3lab
Alessia is a Data Science EIT Digital master student at Technische Universität Berlin. She is a Junior Data Scientist at HK3lab, working on machine learning/deep learning frameworks to integrate multiple medical imaging modalities and different clinical data to get more precise prognostic/diagnostic biomarkers for human and veterinary health. She has been a volunteer of the Italian Python Community since 2017, helping with the organization of PyCon Italy. In 2018, she also joined the organisation committee of EuroSciPy. When not coding, she loves dancing and drinking black tea and good gin.
Details
Language
English
Level
Beginner
Length
24 minutes
Type
online conference
Belongs to:
Belongs to:
Online Tech Conference 2021 - Italian Edition | Autumn
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