AIMC Topic: Carcinoma, Squamous Cell

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A deep ensemble learning approach for squamous cell classification in cervical cancer.

Scientific reports Mar 1, 2025
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to the vagina-poses a significant health threat. The microscopic examination of cervical cells using Pap smear techniques plays a crucial role in identif...
Humans Deep Learning Papanicolaou Test Vaginal Smears Cervix Uteri Ensemble Learning Neural Networks, Computer Female Carcinoma, Squamous Cell Uterine Cervical Neoplasms
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Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI.

BMC medical imaging Feb 21, 2025
PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC) and olfactory neuroblastoma (ONB) and to evaluate whether the DL models could improve the diagnostic pe...
Humans Adult Male Middle Aged Deep Learning Magnetic Resonance Imaging Retrospective Studies Female Carcinoma, Squamous Cell Aged Carcinoma, Adenoid Cystic Diagnosis, Differential Esthesioneuroblastoma, Olfactory Image Interpretation, Computer-Assisted Nose Neoplasms Paranasal Sinus Neoplasms
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Detection of Ocular Surface Squamous Neoplasia Using Artificial Intelligence With Anterior Segment Optical Coherence Tomography.

American journal of ophthalmology Feb 19, 2025
PURPOSE: To develop and validate a deep learning (DL) model to differentiate ocular surface squamous neoplasia (OSSN) from pterygium and pinguecula using high-resolution anterior segment optical coherence tomography (AS-OCT).
Anterior Eye Segment Corneal Diseases Pterygium Conjunctival Neoplasms Retrospective Studies Middle Aged Deep Learning Female Diagnosis, Differential Humans Carcinoma, Squamous Cell Tomography, Optical Coherence Adult Artificial Intelligence Reproducibility of Results Aged Sensitivity and Specificity Aged, 80 and over Male
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Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Aged Adult Male Humans Middle Aged Predictive Value of Tests Artificial Intelligence Mouth Neoplasms Female Cytodiagnosis Carcinoma, Squamous Cell Image Interpretation, Computer-Assisted Reproducibility of Results Pilot Projects Papanicolaou Test Squamous Cell Carcinoma of Head and Neck Early Detection of Cancer
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Scientific reports Jan 23, 2025
Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC gr...
Lymphocytes, Tumor-Infiltrating Neoplasm Grading Humans Machine Learning Mouth Neoplasms Carcinoma, Squamous Cell Reproducibility of Results Squamous Cell Carcinoma of Head and Neck
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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy.

Scientific reports Jan 20, 2025
Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. Fifty-nine patients with oral mucosal abnormalities...
Neural Networks, Computer Female Carcinoma, Squamous Cell Aged Middle Aged Convolutional Neural Networks Microscopy, Confocal Adult Male Humans Mouth Neoplasms Fluorescein Mouth Mucosa Acriflavine
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Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods.

NPJ systems biology and applications Jan 17, 2025
Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learni...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Discriminant Analysis Microbiota Humans Machine Learning Algorithms Carcinoma, Squamous Cell Lung
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Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Jan 14, 2025
PURPOSE: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM ris...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Decision Trees Oropharyngeal Neoplasms Stomatitis Sensitivity and Specificity Male Middle Aged Risk Assessment Risk Factors Aged Aged, 80 and over Adult Algorithms Female Carcinoma, Squamous Cell Humans Machine Learning
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Diagnosis of lymph node metastasis in oral squamous cell carcinoma by an MRI-based deep learning model.

Oral oncology Jan 2, 2025
BACKGROUND: Cervical lymph node metastasis (LNM) is a well-established poor prognosticator of oral squamous cell carcinoma (OSCC), in which occult metastasis is a subtype that makes prediction challenging. Here, we developed and validated a deep lear...
Deep Learning Lymphatic Metastasis Magnetic Resonance Imaging Mouth Neoplasms Aged Adult Male Middle Aged Retrospective Studies Female Carcinoma, Squamous Cell Humans
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Iodine Density of Lymphoma, Metastatic SCCA, and Normal Cervical lymph nodes: A Comparative Analysis Based on DLSCT.

F1000Research Jan 2, 2025
OBJECTIVE: To compare iodine density (ID) and contrast-enhanced attenuation value (CEAV) from dual-layer spectral computed tomography (DLSCT) scans of lymphomatous, metastatic squamous cell carcinoma (SCCA), and normal cervical lymph nodes.
Male Carcinoma, Squamous Cell Humans Lymphatic Metastasis Aged Middle Aged Retrospective Studies Lymphoma Aged, 80 and over Contrast Media Iodine Tomography, X-Ray Computed Adult Neck Female Lymph Nodes
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