Copertina

Drug classification based on X-ray spectroscopy combined with machine learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Yongming, Wang, Peng, Han, Bangdong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
di: Rodrigues, E O, et al.
Pubblicazione: (2026)

Machine learning and machine learned prediction in chest X-ray images
di: Garrett, Shereiff, et al.
Pubblicazione: (2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
di: Taher, Josef, et al.
Pubblicazione: (2025)

Quantum machine learning for image classification
di: Senokosov, Arsenii, et al.
Pubblicazione: (2023)

MedSAM-based lung masking for multi-label chest X-ray classification
di: Miao, Brayden, et al.
Pubblicazione: (2025)

A machine learning approach for image classification in synthetic aperture RADAR
di: Gaburro, Romina, et al.
Pubblicazione: (2025)

An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classification
di: Bilson, Samuel, et al.
Pubblicazione: (2025)

ADHD diagnosis based on action characteristics recorded in videos using machine learning
di: Li, Yichun, et al.
Pubblicazione: (2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
di: Holste, Gregory, et al.
Pubblicazione: (2023)

Randomized based restricted kernel machine for hyperspectral image classification
di: Quadir, A., et al.
Pubblicazione: (2025)

The object detection model uses combined extraction with KNN and RF classification
di: Kurniati, Florentina Tatrin, et al.
Pubblicazione: (2024)

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition
di: Sun, Shuofeng, et al.
Pubblicazione: (2024)

Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
di: Marsico, Veronica, et al.
Pubblicazione: (2025)

Towards classification-based representation learning for place recognition on LiDAR scans
di: Konoplia, Maksim, et al.
Pubblicazione: (2025)

CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification
di: Dai, Ying
Pubblicazione: (2020)

Deep learning-based approach for tomato classification in complex scenes
di: Mousse, Mikael A., et al.
Pubblicazione: (2024)

A comparative study on machine learning approaches for rock mass classification using drilling data
di: Hansen, Tom F., et al.
Pubblicazione: (2024)

Nucleus subtype classification using inter-modality learning
di: Remedios, Lucas W., et al.
Pubblicazione: (2024)

Equilibrium contrastive learning for imbalanced image classification
di: Roh, Sumin, et al.
Pubblicazione: (2026)

Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses
di: Yang, Bo, et al.
Pubblicazione: (2023)

Reasoning in machine vision: learning to think fast and slow
di: Saeed, Shaheer U., et al.
Pubblicazione: (2025)

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
di: Loss, Flavio P., et al.
Pubblicazione: (2024)

Specificity-aware reinforcement learning for fine-grained open-world classification
di: Angheben, Samuele, et al.
Pubblicazione: (2026)

A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data
di: Wang, Binwu, et al.
Pubblicazione: (2025)

FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
di: Song, Rongzihan, et al.
Pubblicazione: (2024)

Multi-view learning for automatic classification of multi-wavelength auroral images
di: Yang, Qiuju, et al.
Pubblicazione: (2023)

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
di: Geng, Zigang, et al.
Pubblicazione: (2025)

GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization
di: Wang, Yikun, et al.
Pubblicazione: (2025)

Statistical analysis of multivariate planar curves and applications to X-ray classification
di: Moindjié, Issam-Ali, et al.
Pubblicazione: (2025)

CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
di: Zhang, Bodong, et al.
Pubblicazione: (2023)

Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
di: Husseini-Wüsthoff, Hümeyra, et al.
Pubblicazione: (2024)

A machine learning pipeline for automated insect monitoring
di: Jain, Aditya, et al.
Pubblicazione: (2024)

Research on geometric figure classification algorithm based on Deep Learning
di: Wang, Ruiyang, et al.
Pubblicazione: (2024)

Impact of domain adaptation in deep learning for medical image classifications
di: Wu, Yihang, et al.
Pubblicazione: (2026)

Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?
di: Tao, Renshuai, et al.
Pubblicazione: (2024)

SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis
di: Cai, Zijian, et al.
Pubblicazione: (2024)

Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
di: Cani, Jorgen, et al.
Pubblicazione: (2025)

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction
di: Wang, Feiran, et al.
Pubblicazione: (2025)

CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
di: Bai, Haoyu, et al.
Pubblicazione: (2025)

Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
di: Zhao, Chonghang, et al.
Pubblicazione: (2025)