Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training

W Han, AM Cheung, MJ Yaffe, AL Martel - Scientific Reports, 2022 - nature.com
Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a
more accurate patient stratification for immunotherapy. Accurate cell segmentation of the …

Multiplex immunofluorescence and single‐cell transcriptomic profiling reveal the spatial cell interaction networks in the non‐small cell lung cancer microenvironment

H Peng, X Wu, S Liu, M He, C Xie… - Clinical and …, 2023 - Wiley Online Library
Background Conventional immunohistochemistry technologies were limited by the inability
to simultaneously detect multiple markers and the lack of identifying spatial relationships …

Virtual sample generation for small sample learning: a survey, recent developments and future prospects

J Wen, A Su, X Wang, H Xu, J Ma, K Chen, X Ge, Z Xu… - Neurocomputing, 2024 - Elsevier
Virtual sample generation (VSG) technology aims to generate virtual samples based on real
samples, in order to expand the size of the datasets and improve model performance …

Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations

A Bilodeau, CVL Delmas, M Parent… - Nature Machine …, 2022 - nature.com
The development of deep learning approaches to detect, segment or classify structures of
interest has transformed the field of quantitative microscopy. High-throughput quantitative …

Deep learning-based segmental analysis of fish for biomass estimation in an occulted environment

NS Abinaya, D Susan, RK Sidharthan - Computers and Electronics in …, 2022 - Elsevier
Fish biomass is one of the reliable parameters that can provide insight into fish and
environmental health. Estimation of biomass in a dense and occulted environment is an …

Landscape of bone marrow metastasis in human neuroblastoma unraveled by transcriptomics and deep multiplex imaging

D Lazic, F Kromp, F Rifatbegovic, P Repiscak, M Kirr… - Cancers, 2021 - mdpi.com
Simple Summary Bone marrow metastasis frequently occurs in patients with solid cancers
and most often leads to poor outcome. Yet, the composition of bone marrow metastases …

Nisnet3d: Three-dimensional nuclear synthesis and instance segmentation for fluorescence microscopy images

L Wu, A Chen, P Salama, S Winfree, KW Dunn… - Scientific Reports, 2023 - nature.com
The primary step in tissue cytometry is the automated distinction of individual cells
(segmentation). Since cell borders are seldom labeled, cells are generally segmented by …

An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques

KK Patro, JP Allam, U Sanapala, CK Marpu… - BMC …, 2023 - Springer
The rising risk of diabetes, particularly in emerging countries, highlights the importance of
early detection. Manual prediction can be a challenging task, leading to the need for …

A novel automated protocol for ice crystal segmentation analysis using Cellpose and Fiji

J Saad, M Fomich, VP Día, T Wang - Cryobiology, 2023 - Elsevier
Accurate measurement of ice crystal size is an essential step in quantitative ice
recrystallization inhibition (IRI) analysis using the sucrose sandwiching assay (SSA) and …

[HTML][HTML] An image segmentation method of pulverized coal for particle size analysis

X Li, S Li, L Dong, S Su, X Hu, Z Lu - International Journal of Mining …, 2023 - Elsevier
An important index to evaluate the process efficiency of coal preparation is the mineral
liberation degree of pulverized coal, which is greatly influenced by the particle size and …