Cover Image

Defining the boundaries: challenges and advances in identifying cells in microscopy images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gogoberidze, Nodar, Cimini, Beth A.
Format:	Preprint
Published:	2023
Subjects:	Quantitative Methods Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Integrative Strategies for Incorporating Phenotypic Features in Spatial Transcriptomics
by: Moser, Levin M, et al.
Published: (2025)

A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images
by: Laydi, Achraf Ait, et al.
Published: (2025)

C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging
by: Marikkar, Umar, et al.
Published: (2025)

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma
by: Sancéré, Lucas, et al.
Published: (2025)

A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction
by: Chen, Meixu, et al.
Published: (2024)

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
by: Singla, Ayush, et al.
Published: (2024)

WaveOrder: A differentiable wave-optical framework for scalable biological microscopy with diverse modalities
by: Chandler, Talon, et al.
Published: (2024)

acia-workflows: Automated Single-cell Imaging Analysis for Scalable and Deep Learning-based Live-cell Imaging Analysis Workflows
by: Seiffarth, Johannes, et al.
Published: (2025)

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis
by: Xing, Xiaodan, et al.
Published: (2023)

Machine learning identification of maternal inflammatory response and histologic choroamnionitis from placental membrane whole slide images
by: Sharma, Abhishek, et al.
Published: (2024)

Supervised contrastive learning for cell stage classification of animal embryos
by: Hachani, Yasmine, et al.
Published: (2025)

PyUAT: Open-source Python framework for efficient and scalable cell tracking
by: Seiffarth, Johannes, et al.
Published: (2025)

A co-evolving agentic AI system for medical imaging analysis
by: Li, Songhao, et al.
Published: (2025)

UruDendro, a public dataset of cross-section images of Pinus taeda
by: Marichal, Henry, et al.
Published: (2024)

GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
by: Wang, Mengbo, et al.
Published: (2025)

Reliable and superior elliptic Fourier descriptor normalization and its application software ElliShape with efficient image processing
by: Wu, Hui, et al.
Published: (2024)

Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study
by: Tangwiriyasakul, Chayanin, et al.
Published: (2024)

Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network
by: Kim, Jihwan, et al.
Published: (2024)

Unmasking unlearnable models: a classification challenge for biomedical images without visible cues
by: Kumar, Shivam, et al.
Published: (2024)

Global-to-local image quality assessment in optical microscopy via fast and robust deep learning predictions
by: Corbetta, Elena, et al.
Published: (2025)

PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer
by: Yang, Changchun, et al.
Published: (2025)

Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
by: Lefebvre, Austin E. Y. T., et al.
Published: (2024)

Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
by: Rafati, Z., et al.
Published: (2025)

A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer
by: Spronck, Joey, et al.
Published: (2025)

Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
by: Truzman, Tammar, et al.
Published: (2026)

BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning
by: Turley, Jake, et al.
Published: (2025)

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images
by: Ganz, Jonathan, et al.
Published: (2024)

An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis
by: Urru, Andrea, et al.
Published: (2022)

Cell Behavior Video Classification Challenge, a benchmark for computer vision methods in time-lapse microscopy
by: Cabini, Raffaella Fiamma, et al.
Published: (2026)

ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping
by: Gaggion, Nicolás, et al.
Published: (2025)

A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography
by: Munafò, Riccardo, et al.
Published: (2023)

Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
by: Prezja, Fabi, et al.
Published: (2023)

Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT
by: Ye, Zanting, et al.
Published: (2026)

Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review
by: Debbagh, Mohamed, et al.
Published: (2024)

Behavioural Classification in C. elegans: a Spatio-Temporal Analysis of Locomotion
by: Antonic, Nemanja, et al.
Published: (2025)

Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification
by: Zhang, Tengyue, et al.
Published: (2026)

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction
by: Wang, Changfan, et al.
Published: (2026)

PhyloSDF: Phylogenetically-Conditioned Neural Generation of 3D Skull Morphology via Residual Flow Matching
by: Lau, Kaikwan, et al.
Published: (2026)

Cluster-First Labelling: An Automated Pipeline for Segmentation and Morphological Clustering in Histology Whole Slide Images
by: Ahmad, Muhammad Haseeb, et al.
Published: (2026)

UCell: rethinking generalizability and scaling of bio-medical vision models
by: Kuang, Nicholas, et al.
Published: (2026)