[PDF][PDF] Deep Learning-Based Particle Detection and Instance Segmentation for Microscopy Images
T Scherr - core.ac.uk
Microscopy imaging enables researchers to gain insight into complex processes not
understood so far. Reducing the time to insight for researchers requires highly automated …
understood so far. Reducing the time to insight for researchers requires highly automated …
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images
T Wollmann, K Rohr - Medical Image Analysis, 2021 - Elsevier
Detection of cells and particles in microscopy images is a common and challenging task. In
recent years, detection approaches in computer vision achieved remarkable improvements …
recent years, detection approaches in computer vision achieved remarkable improvements …
Particle size distribution based on deep learning instance segmentation
AC Baraian - 2021 - oulurepo.oulu.fi
Deep learning has become one of the most important topics in Computer Science, and
recently it proved to deliver outstanding performances in the field of Computer Vision …
recently it proved to deliver outstanding performances in the field of Computer Vision …
A Novel Method for Particle Instance Segmentation and Size Measurement
F Li, X Liu, Y Yin, Z Li - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
Deep learning has demonstrated significant potential in particle size measurement across
various fields, including mining, agriculture, and cell processing. However, its performance …
various fields, including mining, agriculture, and cell processing. However, its performance …
Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping
X Tang, L Lv, S Javanmardi, Y Wang… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Automated nanoparticle phenotyping is a critical aspect of high-throughput drug research,
which requires analyzing nanoparticle size, shape, and surface topography from microscopy …
which requires analyzing nanoparticle size, shape, and surface topography from microscopy …
UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning
This work presents the development and implementation of a deep learning-based workflow
for autonomous image analysis in nanoscience. A versatile, agnostic, and configurable tool …
for autonomous image analysis in nanoscience. A versatile, agnostic, and configurable tool …
Deep learning based instance segmentation of particle streaks and tufts
C Tsalicoglou, T Rösgen - Measurement Science and …, 2022 - iopscience.iop.org
Abstract 3D particle streak velocimetry (3D-PSV) and surface flow visualization using tufts
both require the detection of curve segments, particle streaks or tufts, in images. We propose …
both require the detection of curve segments, particle streaks or tufts, in images. We propose …
[HTML][HTML] Deep Learning for Detection and Segmentation in High-Content Microscopy Images
TS Wollmann - 2020 - ub.uni-heidelberg.de
High-content microscopy led to many advances in biology and medicine. This fast emerging
technology is transforming cell biology into a big data driven science. Computer vision …
technology is transforming cell biology into a big data driven science. Computer vision …
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images
Motivation An automated counting of beads is required for many high-throughput
experiments such as studying mimicked bacterial invasion processes. However, state-of-the …
experiments such as studying mimicked bacterial invasion processes. However, state-of-the …
Embedding-based instance segmentation in microscopy
M Lalit, P Tomancak, F Jug - Medical Imaging with Deep …, 2021 - proceedings.mlr.press
Automatic detection and segmentation of objects in 2D and 3D microscopy data is important
for countless biomedical applications. In the natural image domain, spatial embedding …
for countless biomedical applications. In the natural image domain, spatial embedding …