blog.jetbrains.com

How to Use FastAPI for Machine Learning

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 ...
IEEE

ASIC Implementation of Pre-Trained CNN for Image Classification Using GPDK90nm Technology

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 ...
IEEE

Image based Bird Species Identification using CNN

Abstract: Recent advancements in computer vision and deep learning have significantly enhanced the potential for image-based bird species identification, garnering considerable interest in ornithology ...
GitHub

cnn-image-classification

This project consists of following steps: - dataset creation with web scraping (BeautifulSoup) - data pre-processing (DifPy, Rembg, Keras) - CNN deep learning model training (used MobileNet V2 model) ...
Frontiers

CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors

To investigate the feasibility and efficiency of automatic segmentation of contrast-enhanced ultrasound (CEUS) images in renal tumors by convolutional neural network (CNN) based models and their ...
science

Improving breast cancer diagnostics with deep learning for MRI

Early detection is key to improving breast cancer outcomes. Witowski et al. developed a deep learning pipeline that improves the specificity of dynamic contrast-enhanced magnetic resonance imaging ...