AIMC Topic: Carcinoma

Clear Filters Showing 21 to 30 of 56 articles

Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy.

BMC medicine Aug 26, 2022
BACKGROUND: Accurate diagnosis of unexplained cervical lymphadenopathy (CLA) using medical images heavily relies on the experience of radiologists, which is even worse for CLA patients in underdeveloped countries and regions, because of lack of exper...
Humans Lymphoma Carcinoma Hyperplasia Tuberculosis, Lymph Node Retrospective Studies Deep Learning Lymphadenopathy
View on PubMed DOI

Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma.

Journal of translational medicine Jun 28, 2022
PURPOSE: The current study aimed to construct a novel cancer artificial intelligence survival analysis system for predicting the individual mortality risk curves for cervical carcinoma patients receiving different treatments.
Nomograms Carcinoma Proportional Hazards Models Humans Artificial Intelligence Prognosis
View on PubMed DOI

VCNet: Hybrid Deep Learning Model for Detection and Classification of Lung Carcinoma Using Chest Radiographs.

Frontiers in public health Jun 20, 2022
Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for radiologists. But, it is time-consuming in nature. Despite numerous breakthroughs in studies on the application of deep learning models for the identif...
Carcinoma Tomography, X-Ray Computed Humans Lung Deep Learning Lung Neoplasms
View on PubMed DOI

Artificial Intelligence Algorithm in Classification and Recognition of Primary Hepatic Carcinoma Images under Magnetic Resonance Imaging.

Contrast media & molecular imaging Jun 7, 2022
This study aimed to discuss the application value of the bias field correction algorithm in magnetic resonance imaging (MRI) images of patients with primary hepatic carcinoma (PHC). In total, 52 patients with PHC were selected as the experimental gro...
Humans Artificial Intelligence Algorithms Contrast Media Magnetic Resonance Imaging Carcinoma
View on PubMed DOI

AI-based carcinoma detection and classification using histopathological images: A systematic review.

Computers in biology and medicine Jan 5, 2022
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell carcinoma and adenocarcinoma are two major subtypes of carcinoma, diagnosed b...
Humans Artificial Intelligence Image Processing, Computer-Assisted Biopsy Carcinoma Automation
View on PubMed DOI

Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor-stroma ratio.

Scientific reports Sep 28, 2021
The tumor-stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients ...
Neoplasm Staging Carcinoma Gastrectomy Observer Variation Image Processing, Computer-Assisted Treatment Outcome Follow-Up Studies Kaplan-Meier Estimate Stomach Keratins Adult Stomach Neoplasms Male Middle Aged Risk Assessment Deep Learning ROC Curve Humans Female Aged
View on PubMed DOI

Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 22, 2021
Human Papilloma Virus (HPV) is a major risk factor for the development of oropharyngeal cancer. Automatic detection of HPV in digitized pathology tissues using in situ hybridisation (ISH) is a difficult task due to the variability and complexity of s...
Alphapapillomavirus Attention Papillomaviridae Oropharyngeal Neoplasms Humans Deep Learning Carcinoma
View on PubMed DOI

Deep learning extended depth-of-field microscope for fast and slide-free histology.

Proceedings of the National Academy of Sciences of the United States of America Dec 14, 2020
Microscopic evaluation of resected tissue plays a central role in the surgical management of cancer. Because optical microscopes have a limited depth-of-field (DOF), resected tissue is either frozen or preserved with chemical fixatives, sliced into t...
Biopsy Carcinoma Swine Humans Mouth Neoplasms Calibration Deep Learning Algorithms Image Processing, Computer-Assisted Animals Microscopy, Fluorescence
View on PubMed DOI

Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study.

Acta cytologica Oct 6, 2020
INTRODUCTION: Urine cytology plays an important role in diagnosing urothelial carcinoma (UC). However, urine cytology interpretation is subjective and difficult. Morphogo (ALAB, Boston, MA, USA), equipped with automatic acquisition and scanning, opti...
Carcinoma Feasibility Studies Cytodiagnosis Image Interpretation, Computer-Assisted Urine Machine Learning Proof of Concept Study Female Urothelium Diagnosis, Computer-Assisted Reproducibility of Results Humans Aged, 80 and over Urologic Neoplasms Aged Neural Networks, Computer Predictive Value of Tests Male Prostatic Neoplasms Middle Aged
View on PubMed DOI

Biomarkers of the Response to Immune Checkpoint Inhibitors in Metastatic Urothelial Carcinoma.

Frontiers in immunology Aug 25, 2020
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance to discern mUC patients who could benefit from ICI therapy in clinica...
Urinary Bladder Neoplasms Predictive Value of Tests Carcinoma Nomograms Transcriptome Urothelium Male Clinical Decision-Making Drug Resistance, Neoplasm Treatment Outcome Time Factors Risk Assessment Female Antibodies, Monoclonal, Humanized Humans Immune Checkpoint Inhibitors Gene Expression Profiling Risk Factors Machine Learning B7-H1 Antigen Biomarkers, Tumor Decision Support Techniques
View on PubMed DOI
Popular Topics
Recent Journals