A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer

© 2018 IEEE. A novel framework for the classification of lung nodules using computed tomography (CT) scans is proposed in this paper. To get an accurate diagnosis of the detected lung nodules, the proposed framework integrates the following two groups of features: (i) appearance features that is modeled using higher-order Markov Gibbs random field (MGRF)-model that has the ability to describe the spatial inhomogeneities inside the lung nodule; and (ii) geometric features that describe the shape geometry of the lung nodules. The novelty of this paper is to accurately model the appearance of the detected lung nodules using a new developed 7th-order MGRF model that has the ability to model the existing spatial inhomogeneities for both small and large detected lung nodules, in addition to the integration with the extracted geometric features. Finally, a deep autoencoder (AE) classifier is fed by the above two feature groups to distinguish between the malignant and benign nodules. To evaluate the proposed framework, we used the publicly available data from the Lung Image Database Consortium (LIDC). We used a total of 727 nodules that were collected from 467 patients. The proposed system demonstrates the promise to be a valuable tool for the detection of lung cancer evidenced by achieving a nodule classification accuracy of 92.20%

A Review on research and applications of cylindrical panoramas

This paper reviews research related to the design, production and application of cylindrical panoramic cameras. Such a camera is characterized by rotating linear sensors capturing one image column at a time. This allows for accurate mappings onto a cylindrical image surface and very high image resolutions paid by motion distortions in dynamic scenes. These panoramic images can be used, for example, for stereo visualization and stereo reconstructiion in applications where extremely high image resolution is of benefit (for static scenes). The paper deals especially with aspects of stereo visualization and reconstruction

A Review on Research and Applications of Cylindrical Panoramas

This paper reviews research related to the design, production and application of cylindrical panoramic cameras. Such a camera is characterized by rotating linear sensors capturing one image column at a time. This allows for accurate mappings onto a cylindrical image surface and very high image resolutions paid by motion distortions in dynamic scenes. These panoramic images can be used, for example, for stereo visualization and stereo reconstruction in applications where extremely high image resolution is of benefit (for static scenes). The paper deals especially with aspects of stereo visualization and reconstruction