Image de couverture de livre

CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mohammad, Jamshidi, Hoang, Dinh Thai, Nguyen, Diep N.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Image and Video Processing Quantitative Methods
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Alzheimer's Disease Prediction: A Novel Approach to Leveraging GAN-Augmented Data for Improved CNN Model Accuracy
par: Sunkara, Akshay, et autres
Publié: (2024)

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

Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics
par: Wei, Yuanyuan, et autres
Publié: (2024)

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
par: Sengupta, Sourya, et autres
Publié: (2025)

Realtime Particulate Matter and Bacteria Analysis of Peritoneal Dialysis Fluid using Digital Inline Holography
par: Bravo-Frank, Nicholas, et autres
Publié: (2024)

Harmonization mitigates diffusion MRI scanner effects in infancy: insights from the HEALthy Brain and Childhood Development (HBCD) study
par: McMaster, Elyssa M., et autres
Publié: (2026)

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

Harmonization Benchmarking Tool for Neuroimaging Datasets
par: Osika, Tom, et autres
Publié: (2022)

Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
par: Elola, Andoni, et autres
Publié: (2024)

Progress and new challenges in image-based profiling
par: Serrano, Erik, et autres
Publié: (2025)

Robust Glioblastoma Segmentation and Volumetry Without T2-FLAIR: External Validation of Targeted Dropout Training
par: Öchsner, Marco, et autres
Publié: (2026)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
par: Marcianò, Vincenzo, et autres
Publié: (2025)

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

UnPuzzle: A Unified Framework for Pathology Image Analysis
par: Liao, Dankai, et autres
Publié: (2025)

Morphological Reconstruction of Detached Dendritic Spines via Geodesic Path Prediction
par: Jain, Sammit, et autres
Publié: (2020)

Numerical Uncertainty in Linear Registration: An Experimental Study
par: Mirhakimi, Niusha, et autres
Publié: (2025)

Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
par: Hinterberger, Anna, et autres
Publié: (2025)

PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling
par: Zhang, Tianyi, et autres
Publié: (2025)

Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
par: Siyu, et autres
Publié: (2024)

Computer Navigated Spinal Surgery Using Magnetic Resonance Imaging and Augmented Reality
par: Lu, Songyuan, et autres
Publié: (2025)

Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasets
par: Bar, Shir, et autres
Publié: (2024)

AI-Driven Segmentation and Analysis of Microbial Cells
par: Zhang, Shuang, et autres
Publié: (2025)

Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
par: Peiris, Himashi, et autres
Publié: (2025)

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

Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization
par: Gong, Nanxin, et autres
Publié: (2025)

Clinically-aligned Multi-modal Chest X-ray Classification
par: Sloan, Phillip, et autres
Publié: (2025)

Evaluation of neuroCombat and deep learning harmonization for multi-site magnetic resonance neuroimaging in youth with prenatal alcohol exposure
par: Scholten, Chloe, et autres
Publié: (2026)

Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias
par: Tachibana, Takaaki, et autres
Publié: (2025)

Optimising image capture for low-light widefield quantitative fluorescence microscopy
par: Peterkovic, Zane, et autres
Publié: (2024)

Learning from Limited Multi-Phase CT: Dual-Branch Prototype-Guided Framework for Early Recurrence Prediction in HCC
par: Yu, Hsin-Pei, et autres
Publié: (2025)

A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System
par: Gua, Y., et autres
Publié: (2024)

Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
par: Saunders, Adam M., et autres
Publié: (2025)

Hybrid eTFCE-GRF: Exact Cluster-Size Retrieval with Analytical p-Values for Voxel-Based Morphometry
par: Yin, Don, et autres
Publié: (2026)

A Spectral Library and Method for Sparse Unmixing of Hyperspectral Images in Fluorescence Guided Resection of Brain Tumors
par: Black, David, et autres
Publié: (2024)

Outlier Removal in Cryo-EM via Radial Profiles
par: Kapnulin, Lev, et autres
Publié: (2024)

Using convolutional neural networks for the classification of breast cancer images
par: Bonnet, Eric
Publié: (2021)

Cross-Domain Image Synthesis: Generating H&E from Multiplex Biomarker Imaging
par: Saurav, Jillur Rahman, et autres
Publié: (2025)

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer
par: Yang, Yongquan, et autres
Publié: (2023)

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
par: Lepetit-Aimon, Gabriel, et autres
Publié: (2024)

Computational interference microscopy enabled by deep learning
par: Jiao, Yuheng, et autres
Publié: (2020)