Research graph
References from Label-Free Microscopic Hyperspectral Imaging for Papillary Thyroid Carcinoma Photodiagnosis Using Patient-Level Spectral-Spatial Deep Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Update from the 2022 World Health Organization Classification of Thyroid Tumors: A Standardized Diagnostic Approach
10.3803/enm.2022.1553 · 2022 · External reference
Application of Hyperspectral Imaging and Machine Learning for Differential Diagnosis of Hashimoto's Thyroiditis and Papillary Thyroid Carcinoma
2025 · External reference
Differential Diagnosis of Papillary Thyroid Carcinoma and Nodular Goiter With Papillary Hyperplasia Using Hyperspectral Imaging Technology
10.1002/jbio.202500200 · 2025 · External reference
Thyroid Carcinoma Detection on Whole Histologic Slides Using Hyperspectral Imaging and Deep Learning
2022 · External reference
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging
10.1117/1.jbo.27.4.046501 · 2022 · External reference
Diagnosis of cholangiocarcinoma from microscopic hyperspectral pathological dataset by deep convolution neural networks
10.1016/j.ymeth.2021.04.005 · 2022 · External reference
Quantitative melanoma diagnosis using spectral phasor analysis of hyperspectral imaging from label-free slices
10.3389/fonc.2023.1296826 · 2023 · External reference
Identification of gastric cancer types based on hyperspectral imaging technology
10.1002/jbio.202300276 · 2024 · External reference
Intelligent Identification of Early Esophageal Cancer by Band-Selective Hyperspectral Imaging
10.3390/cancers14174292 · 2022 · External reference
Deep learning for rapid virtual H&E staining of label-free glioma tissue from hyperspectral images
10.1016/j.compbiomed.2024.108958 · 2024 · External reference
Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications
10.1117/1.jbo.31.3.030901 · 2026 · External reference
Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review
10.1063/5.0240444 · 2024 · External reference
Joint Diagnostic Method of Tumor Tissue Based on Hyperspectral Spectral-Spatial Transfer Features
10.3390/diagnostics13122002 · 2023 · External reference
Accurate classification of glomerular diseases by hyperspectral imaging and transformer
10.1016/j.cmpb.2024.108285 · 2024 · External reference
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential
10.1016/j.compmedimag.2024.102337 · 2024 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
10.1038/s41591-025-03953-8 · 2025 · External reference
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
10.1136/bmj-2024-082505 · 2025 · External reference
Toward Explainable Artificial Intelligence for Precision Pathology
10.1146/annurev-pathmechdis-051222-113147 · 2024 · External reference
Machine learning in computational histopathology: Challenges and opportunities
10.1002/gcc.23177 · 2023 · External reference
Polarized hyperspectral microscopic imaging system for enhancing the visualization of collagen fibers and head and neck squamous cell carcinoma
10.1117/1.jbo.29.1.016005 · 2024 · External reference
A semi-supervised segmentation method for microscopic hyperspectral pathological images based on multi-consistency learning
10.3389/fonc.2024.1396887 · 2024 · External reference
Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks
10.1049/htl2.12084 · 2024 · External reference
Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning
10.3390/cancers15010213 · 2023 · External reference
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
10.1136/bmj-2024-081554 · 2025 · External reference
