Nodule Detection in Postero Anterior Chest Radiographs
نویسندگان
چکیده
The use of image processing techniques and Computer Aided Diagnosis (CAD) systems has proved to be effective for the improvement of radiologists’ diagnosis, especially in the case of lung nodules detection. In this paper we describe a method for processing Postero Anterior chest radiographs which extracts a set of nodule candidate regions characterized by low cardinality and high sensitivity ratio.
منابع مشابه
Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs
In this paper we describe and compare two different methods to reduce the cardinality of the set of candidates nodules, characterized by an high sensitivity ratio, and extracted from PA chest radiographs by a fully automatized method. The methods are a rule based system and a feed-forward neural network trained by back-propagation. Both the systems allow to recognize almost the 021 % of false p...
متن کاملLung Field Segmentation in Digital Postero-Anterior Chest Radiographs
This paper describes a lung field segmentation method, working on digital Postero-Anterior chest radiographs. The lung border is detected by integrating the results obtained by two simple and classical edge detectors, thus exploiting their complementary advantages. The method makes no assumption regarding the chest position, size and orientation; it has been tested on a non-trivial set of real ...
متن کاملLung Nodule Detection and Classification
Detection of malignant lung nodules in chest radiographs is currently performed by pulmonary radiologists, potentially with the aid of CAD systems. Recent advancements in convolutional neural network (CNN) models have improved image classification and detection for many tasks, but there has been little exploration of their use for nodule detection in chest radiographs. In this paper we explore ...
متن کاملRib Suppression for Enhancing Frontal Chest Radiographs Using Independent Component Analysis
Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse bone structure and overlapping of the nodule with ribs and clavicles the nodule is hard to detect in conventional chest radiographs. We present a technique based on Independent Component Analysis (ICA) for the suppres...
متن کاملImproved Lung Nodule Visualization on Chest Radiographs using Digital Filtering and Contrast Enhancement
Early detection of lung cancer through chest radiography is a widely used method due to its relatively affordable cost. In this paper, an approach to improve lung nodule visualization on chest radiographs is presented. The approach makes use of linear phase high-frequency emphasis filter for digital filtering and histogram equalization for contrast enhancement to achieve improvements. Results o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004