Oğul BB, Koşucu P, Ozcam A, Kanik SD. Lung nodule detection in x-ray images: a new feature set. In: European conference of the international federation for medical and biological engineering; Cham: Springer International Publishing; 2015. p. 150-5....
The automatic segmentation of the lung region for chest X-ray (CXR) can help doctors diagnose many lung diseases. However, extreme lung shape changes and fuzzy lung regions caused by serious lung diseases may incorrectly make the automatic lung segmentat
Automated detection and segmentation of non-small cell lung cancer computed tomography images Article Open access 14 June 2022 CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Article Open access 17 May 2024 Introduction...
Transfer learning for COVID-19 pneumonia detection and classification in chest X-ray images. In: Proceedings of the PCI. 2020. p. 170–174. https://doi.org/10.1145/3437120.3437300. Fan D-P, Zhou T, Ji G-P, Zhou Y, Chen G, Fu H, et al. Inf-net: automatic COVID-19 Lung ...
A Hybrid Lung Nodule Detection Scheme on Chest X-ray ImagesNodule detectionchest radiographCADlung cancerIn the current study, we propose a computer aided detection (CADe) scheme targeting lung nodules on chest radiographs. Instead of using the common scheme of a nodule enhancement filter followed ...
To develop an algorithm for real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy. Given a set of volumetric images of a patient at N breathing phases as the training data, deformable image registration was ...
This paper presents a scheme for recognizing nodule shadows that are candidate lung cancer lesions from chest X-ray CT images. In recognizing shadow candid... H Takizawa,S Yamamoto,T Nakagawa,... - 《Systems & Computers in Japan》 被引量: 36发表: 2004年 CsI-detector-based dual-exposure du...
In order to address lung function in-vivo, low dose planar cinematic x-ray images were acquired using an in-vivo microCT (QuantumFX, Perkin Elmer) operated with the following parameters: field of view 20 × 20 mm2, x-ray tube voltage 90 kVp and tube current 40 μA. 1024 ...
As LIDC database contain images that were collected from various institutes, the spatial resolution and X-ray image parameters varied (slice intervals, 0.625–3.0 mm; resolution in the plane, 0.488–0.946 mm; tube voltage, 120–140 kV; and tube current, 40–499 mA). In this ...
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. Nat Biomed Eng. 2021;5:509–21. Article CAS Google Scholar Wu JT, Wong KCL, Gur Y, Ansari N, Karargyris A, Sharma A, et al. Comparison of chest ...