Background: Testicular cancer (TC) is usually diagnosed after manifestation of an overt tumour. Tumour formation is preceded by a pre-invasive and asymptomatic stage, carcinoma in situ (CIS) testis, except for very rare subtypes. The CIS cells are located within seminiferous tubules but can be exfoliated and detected in ejaculates with specific CIS markers. Materials and Methods: We have built ...

Fingerprint identification is one of the oldest and popularly used forms of biometric identification system. Fingerprint image quality is of much importance to achieve high performance in Automatic Fingerprint Identification System (AFIS). Most of the fingerprint Recognition system relies on fingerprint ridges to extract the features. The fingerprint images which are corrupted due to variations...

COMPARATIVE ANALYSIS OF ROBUST IRIS RECOGNITION SYSTEM USING LOG GABOR WAVELET AND LAPLACIAN OF GAUSSIAN FILTER Bhawna Chouhan1 and Shailja Shukla2 1M.E. VI SEM, JEC, Jabalpur, E-mail: [email protected] 2JEC, Jabalpur, E-mail: [email protected] A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the indivi...

This review will discuss the use of manual grading scales, digital photography, and automated image analysis in the quantification of fundus changes caused by age-related macular disease. Digital imaging permits processing of images for enhancement, comparison, and feature quantification, and these techniques have been investigated for automated drusen analysis. The accuracy of automated analys...

Ecosystem Informatics is the study of computational methods for advancing the ecosystem sciences and environmental policy. This talk will discuss the ways in which machine learning—in combination with novel sensors—can help transform the ecosystem sciences from small-scale hypothesis-driven science to global-scale data-driven science. Example challenge problems include optimal sensor placement,...

Particularly in the fields of object identification and picture recognition, deep learning approaches have transformed science computer vision. This abstract provides a summary recent developments cutting-edge methods for applications like recognition. The automated classification objects or patterns inside digital photographs is known as image Convolutional neural networks (CNNs), example, dis...

Image processing is required in number of fields like clinical diagnosis, remote sensing and computer vision. The need for overlaying of images exists in image processing. Image registration is the basis step in various applications of image processing. Registration involves digital preprocessing of the images. It is an important component of various systems including matching a target with a r...

The neural network is computational model based on the features abstraction of biological neural systems. The neural networks have many ways of usage in technical field. They have been applied successfully to speech recognition, image analysis and adaptive control, in order to construct software agents or autonomous robots. In this paper is described usage of neural networks for ECG signal pred...

Face recognition is one of the most important abilities that the humans possess. There are several reasons for the growing interest in automated face recognition, including rising concerns for public security, the need for identity verification for physical and logical access to shared resources, and the need for face analysis and modeling techniques in multimedia data management and digital en...