Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Applications of Machine Learning for Detecting and Counting Objects in Cell Biology
Thesis title in Czech: Využití strojového učení pro rozpoznávání a počítání objektů v buněčné biologii
Thesis title in English: Applications of Machine Learning for Detecting and Counting Objects in Cell Biology
Key words: strojové učení, neuronová síť, rozpoznávání objektů, buněčná biologie, segmentace
English key words: machine learning, neural network, pattern recognition, cell biology, segmentation
Academic year of topic announcement: 2019/2020
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Department of Cell Biology (31-151)
Supervisor: prof. Mgr. Pavel Stopka, Ph.D.
Author: hidden - assigned by the advisor
Date of registration: 04.12.2019
Date of assignment: 04.12.2019
Date of electronic submission:03.06.2020
Date of proceeded defence: 08.07.2020
Opponents: doc. RNDr. David Hoksza, Ph.D.
 
 
 
Preliminary scope of work
Shrnout metody strojovho učení v biologii a navrhnout způsob využití těchto metod pro ropoznání biologických objektů.
Preliminary scope of work in English
To review methods of deep-machine learning in biology and to propose potential applications in the recognition of biological objects.
 
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