AIMC Topic: Adenocarcinoma in Situ

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Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence.

Thoracic cancer Oct 30, 2024
BACKGROUND: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) is a critical early stage of lung cancer, necessitating accurate diagnosis for early intervention. This study applies artificial intelligence (AI) for...
Humans Artificial Intelligence Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Lung Neoplasms Adenocarcinoma of Lung Adenocarcinoma in Situ
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Lung-PNet: An Automated Deep Learning Model for the Diagnosis of Invasive Adenocarcinoma in Pure Ground-Glass Nodules on Chest CT.

AJR. American journal of roentgenology Jul 26, 2023
Pure ground-glass nodules (pGGNs) on chest CT representing invasive adenocarcinoma (IAC) warrant lobectomy with lymph node resection. For pGGNs representing other entities, close follow-up or sublobar resection without node dissection may be appropr...
Humans Retrospective Studies Tomography, X-Ray Computed Female Male Middle Aged Lung Deep Learning Lung Neoplasms Adenocarcinoma Neoplasm Invasiveness Precancerous Conditions Hyperplasia Adenocarcinoma in Situ
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A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

European radiology Dec 6, 2019
OBJECTIVE: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme wi...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Disease Progression Deep Learning Adolescent ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Neoplasm Invasiveness Radiologists Feasibility Studies Adenocarcinoma of Lung Adenocarcinoma in Situ
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