This study explored the application of CNN-Transfer Learning for nondestructive chicken
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …

The research presented in this paper aims at egg fertility detection during incubation based
on the presence of the embryo. To obtain an optimal detection method that does not …

This research aims to improve the performance of convolutional neural network (CNN) in
medical image segmentation that will detect specific parts of the body's anatomical …

Image segmentation is often used in the process of detecting separated objects. In this
study, the application of image segmentation in the detection of egg fertility. The fertility of …

This study aims to detect the presence of chicken egg embryos using digital image
processing. The detection of chicken egg embryos was processed by image segmentation …

This study aims to identify chicken eggs fertility using the support vector machine (SVM)
classifier method. The classification basis used the first-order statistical (FOS) parameters as …

Abstract Magnetic Resonance Imaging (MRI) in diagnosing brain cancers is widespread.
Because of the variety of angles and clarity of anatomy, it is commonly employed. If a brain …

The concept of image processing has been implemented and developed in various fields,
including the poultry industry. The focus in development is on egg detection. Detection is not …

This article aims to test FOS (first-order statistical) in extracting features of embryonated
eggs. This test uses the initial step of image processing to get the best input image in feature …

This study systematically investigates the impact of image enhancement techniques on
Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on …