Open AccessBeadNet: deep learning-based bead detection and counting in low-resolution microscopy images
Author(s) -
Tim Scherr,
Karolin Streule,
Andreas Bartschat,
Moritz Böhland,
Johannes Stegmaier,
Markus Reischl,
Véronique OrianRousseau,
Ralf Mikut
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa594
Subject(s) - computer science , software , bead , image (mathematics) , process (computing) , code (set theory) , artificial intelligence , pipeline (software) , source code , throughput , data mining , pattern recognition (psychology) , programming language , materials science , operating system , set (abstract data type) , composite material , wireless
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