Chest CT-Scan images 是一个关于人类胸部癌检测的2D-CT影像数据集。 作者从多方资源收集整合得到了共1000张CT影像,其中包含有1个正常(Normal)类别和3个癌类别:腺癌(Adenocarcinoma),大细胞癌(Large cell carcinoma),以及鳞状细胞癌(Squamous cell carcinoma)。数据集默认划分了613张训练图像,72张验证图像和315张测试...
Normal CT Anatomy of the ChestThe Medisatinum is a division of thoracic cavity which contains the heart, thymus gland, portion of the esophagus and trachea and other structures. Which CT image window should be used to evaluate the heart and main thoracic vessels?
For the chest CT images, a type of COVIDNet-CT model was proposed in Ref. [12] to identify COVID-19, non-COVID-19 pneumonia and normal cases using a machine-driven design exploration approach which was similar to the method in Ref. [11]. Another contribution of this research is the...
Pulmonary Nodule Detection using Chest Ct Images Automated methods for the detection of pulmonary nodules and nodule volume calculation on CT are described. Gray-level threshold methods were used to segme... DY Kim,JH Kim,SM Noh,... - 《Acta Radiologica》 被引量: 162发表: 2003年 Fast and ...
The classifier utilizes 24 measurements as feature values, which include 18 measurements from PFTs and six measurements based on chest CT image analysis. A total of 3 normal and 46 abnormal (COPD) examinations performed in adults were evaluated using the proposed method to test its diagnostic ...
s body to form images that can be used to judge benign or malignant nodules, the accuracy is still limited. In clinical practice, the first major method for detecting pulmonary nodules is to obtain a series of medical images of the patient, such as chest CT images, and the doctor judges ...
The images in high resolution computed tomography ( HRCT) have more clear spatial resolution compared to those obtained in conventional CT.Because of a focus, and normal and abnormal fine structures.Thus,they have been very valuable in diagnosing some disease and guiding treatment clinically.Our HRCT...
We proposed a deep learning model, “Cycle-Deblur GAN”, combined with CycleGAN and Deblur-GAN models to improve the image quality of chest CBCT images. The 8706 CBCT and FBCT image pairs were used for training, and 1150 image pairs were used for testing in deep learning. The generated ...
Computer-aided interpretation of medical images. paradigm solves the problems of conventional visualization and evaluate it for the detection of polyps from CT colonography.; In the area of CAD, I present two novel algorithms: the surface normal overlap algorithm and the lantern ... Paik, David ...
Objective:To investigate the correlation of abdominal aorta CT value,renal artery CT value and renal cortex thickness with renal cortex CT value on contrast enhanced 64-slice CT images.Methods:96patients(50 men and 46women;16~74years)with normal kidney function,which was confirmed by kidney functi...