There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...
Researchers have shown that a carefully optimized quantum convolutional neural network can outperform classical models with ...
Document forgery has entered an era in which a single swapped digit on a bank statement or a subtly altered stamp on an ...
Self-IntroductionNice to meet you. I am Saito, and I joined Morgenrot in September 2026.I have worked as an infrastructure engineer on projects at various phases. In my previous job, I handled many ...
FastAPI provides a quick way to build a backend service with Python. With a few decorators, you can turn your Python function into an API application. It is widely used by many companies including ...
Abstract: This work presents the development of a custom convolutional neural network (CNN) architecture for image classification, efficiently implemented on a hardware platform such as the Raspberry ...
In this study, we propose a CNN-GAN-based real-time processing technique for filtering images of underwater cables used in power systems. This addresses the excessive interference impurities that are ...
Abstract: If diabetic retinopathy is not identified and treated right away, it is a dangerous side effect of diabetes that will cause blindness. In this work, we investigate novel deep learning (DL) ...
This code pattern demonstrates how images, specifically document images like id cards, application forms, cheque leaf, can be classified using Convolutional Neural Network (CNN). Even though there are ...
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