Cover Image

Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Jun, Moore, Raymond, Novotny, Brenna, Liu, Leo, Fogarty, Zachary, Guo, Ray, Svetomir, Markovic, Wang, Chen
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Driven Segmentation and Analysis of Microbial Cells
by: Zhang, Shuang, et al.
Published: (2025)

Photon Absorption Remote Sensing Virtual Histopathology: A Preliminary Exploration of Diagnostic Equivalence to Gold-Standard H&E Staining in Skin Cancer Excisional Biopsies
by: Ecclestone, Benjamin R., et al.
Published: (2025)

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
by: Ignatov, Andrey, et al.
Published: (2024)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
by: Marcianò, Vincenzo, et al.
Published: (2025)

Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images
by: Khan, Hikmat, et al.
Published: (2025)

Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias
by: Tachibana, Takaaki, et al.
Published: (2025)

Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
by: Nasr, Mohammad Sadegh, et al.
Published: (2023)

Robust CNN Multi-Nested-LSTM Framework with Compound Loss for Patch-based Multi-Push Ultrasound Shear Wave Imaging and Segmentation
by: Alam, Md. Jahin, et al.
Published: (2024)

Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
by: Baqain, Feda Bolus Al, et al.
Published: (2025)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
by: Fuster, Saul, et al.
Published: (2024)

Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia
by: Ahmed, Sabeen, et al.
Published: (2025)

Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
by: Peiris, Himashi, et al.
Published: (2025)

Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
by: Elola, Andoni, et al.
Published: (2024)

Robust Glioblastoma Segmentation and Volumetry Without T2-FLAIR: External Validation of Targeted Dropout Training
by: Öchsner, Marco, et al.
Published: (2026)

Morpho-Genomic Deep Learning for Ovarian Cancer Subtype and Gene Mutation Prediction from Histopathology
by: Fernandes, Gabriela
Published: (2025)

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)

MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images for Histopathological Analysis
by: Ali, Hyam Omar, et al.
Published: (2024)

Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Privacy-Preserving Collaborative Medical Image Segmentation Using Latent Transform Networks
by: Bello, Saheed Ademola, et al.
Published: (2026)

UnPuzzle: A Unified Framework for Pathology Image Analysis
by: Liao, Dankai, et al.
Published: (2025)

Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
by: Maleki, Nazanin, et al.
Published: (2025)

PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling
by: Zhang, Tianyi, et al.
Published: (2025)

Computer Navigated Spinal Surgery Using Magnetic Resonance Imaging and Augmented Reality
by: Lu, Songyuan, et al.
Published: (2025)

Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization
by: Gong, Nanxin, et al.
Published: (2025)

A Spectral Library and Method for Sparse Unmixing of Hyperspectral Images in Fluorescence Guided Resection of Brain Tumors
by: Black, David, et al.
Published: (2024)

Cell as Point: One-Stage Framework for Efficient Cell Tracking
by: Song, Yaxuan, et al.
Published: (2024)

Accurate 3D Grapevine Structure Extraction from High-Resolution Point Clouds
by: Dobbs, Harry, et al.
Published: (2025)

Alignment of Density Maps in Wasserstein Distance
by: Singer, Amit, et al.
Published: (2023)

On Image Search in Histopathology
by: Tizhoosh, H. R., et al.
Published: (2024)

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data
by: Wei, Yuxiang, et al.
Published: (2024)

AI-Enabled Lung Cancer Prognosis
by: Darvish, Mahtab, et al.
Published: (2024)

A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides
by: Lems, Carlijn, et al.
Published: (2025)

Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation
by: Liu, Ye, et al.
Published: (2021)

Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework
by: Megahed, Youssef, et al.
Published: (2025)

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
by: Huang, Wentao, et al.
Published: (2024)

Survival Prediction Across Diverse Cancer Types Using Neural Networks
by: Yan, Xu, et al.
Published: (2024)

High-Throughput Low-Cost Segmentation of Brightfield Microscopy Live Cell Images
by: Das, Surajit, et al.
Published: (2025)

In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task
by: Githinji, P. Bilha, et al.
Published: (2026)

Harmonization Benchmarking Tool for Neuroimaging Datasets
by: Osika, Tom, et al.
Published: (2022)

Progress and new challenges in image-based profiling
by: Serrano, Erik, et al.
Published: (2025)