Article

Unveiling Thymoma Typing through Hyperspectral Imaging and Deep Learning

2024-08-24

Abstract excerpt

：Thymoma, a rare tumor from thymic epithelial cells, presents diagnostic challenges due to the subjective nature of traditional methods, leading to high false-negative rates and long diagnosis times. This study introduces a thymoma classification technique that integrates hyperspectral imaging with deep learning. We initially capture pathological slice images of thymoma using a hyperspectral camera and delineate r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6fa32b02-bdae-51b0-bf7d-76106f85accb
DOI: 10.22541/au.172451826.64404122/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Unveiling Thymoma Typing through Hyperspectral Imaging and Deep LearningDOI 10.22541/au.172451826.64404122/v1Read

Spectral Organ Fingerprints For Machine Learning-Based Intraoperative Tissue Classification With Hyperspectral ImagingSemantic proximity Read

Spectral organ fingerprints for intraoperative tissue classification with hyperspectral imagingSemantic proximity Read

Topology-Aware Multi-Scale Deep Learning Framework for Automated Lung Histopathological Image ClassificationSemantic proximity Read

Spectroscopy and Machine Learning Based Rapid Point-of-Care Assessment of Core Needle Cancer BiopsiesSemantic proximity Read

Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learningSemantic proximity Read

Spatial Clustering Analysis with Spectral Imaging-based Single-Step Multiplex Immunofluorescence (SISS-mIF) for Assisting Histological DiagnosisSemantic proximity Read

Are quantitative radiomics features comparable to semantic radiology features for pre-operative risk classification of thymic epithelial tumours?Semantic proximity Read

An end-to-end platform for digital pathology using hyperspectral autofluorescence microscopy and deep learning based virtual histologySemantic proximity Read

Enhanced Classifications of Skin Melanoma, Actinic Keratosis, and Basal Cell Carcinoma Tumors Versus Normal Tissues Utilizing YOLOv11 and EfficientNetV2M Deep Learning ModelsSemantic proximity Read

Fast intraoperative detection of primary CNS lymphoma and differentiation from common CNS tumors using stimulated Raman histology and deep learningSemantic proximity Read

A Clinically Applicable and Generalizable Deep Learning Model for Anterior Mediastinal Tumors in CT Images Across Multiple InstitutionsSemantic proximity Read

Development and Validation of a Deep Learning Model for Preoperative Screening of Myasthenia Gravis in Patients with Thymoma based on CT ImagesSemantic proximity Read