AIMC Topic: Thoracic Neoplasms

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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Medicine Apr 23, 2021
Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the deep learning-based CAD algorithm (DCAD) for detecting and localizing 3 ma...
Humans Female Reproducibility of Results Aged Male Middle Aged Case-Control Studies Deep Learning ROC Curve Lung Neoplasms Thoracic Neoplasms Area Under Curve Radiographic Image Interpretation, Computer-Assisted Lung Diseases Observer Variation Radiography, Thoracic Pneumothorax
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The diagnostic accuracy of artificial intelligence in thoracic diseases: A protocol for systematic review and meta-analysis.

Medicine Feb 1, 2020
INTRODUCTION: Thoracic diseases include a variety of common human primary malignant tumors, among which lung cancer and esophageal cancer are among the top 10 in cancer incidence and mortality. Early diagnosis is an important part of cancer treatment...
Humans Deep Learning Thoracic Neoplasms Systematic Reviews as Topic Meta-Analysis as Topic
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Robotic paravertebral schwannoma resection at extreme locations of the thoracic cavity.

Neurosurgical focus May 1, 2017
Solitary paravertebral schwannomas in the thoracic spine and lacking an intraspinal component are uncommon. These benign nerve sheath tumors are typically treated using complete resection with an excellent outcome. Resection of these tumors is achiev...
Humans Male Middle Aged Thoracic Vertebrae Thoracic Neoplasms Robotics Robotic Surgical Procedures Neurilemmoma Thoracoscopy Laminectomy Nerve Sheath Neoplasms Thoracic Cavity
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