Scientists innovate mid-infrared photodetectors for exoplanet detection, expanding applications to environmental and medical fields Date: May 9, 2025 Source: The Korea Advanced Institute of ...

In this paper, we propose a lightweight privacy-preserving Faster R-CNN framework (SecRCNN) for object detection in medical images. Faster R-CNN is one of the most outstanding deep learning models for ...

The use of AI applications in medical care is growing. Dr. Leana Wen explains the uses of AI that could improve care — and the reasons for continued caution.

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

These factors underscore the importance of comparing ViTs with established CNN models [22]. Recent studies have reported comparisons of the performance evaluation of Vision Transformers (ViTs) and ...

After preprocessing the data, which included image scaling, linear transformation, and contrast enhancement, we conducted target detection experiments using SSD, Faster R-CNN, and optimized Faster ...

Tyche is a machine-learning framework that can generate plausible answers when asked to identify potential disease in medical images. By capturing the ambiguity in images, the technique could ...

An AI used medical notes to teach itself to spot disease on chest x-rays The model can diagnose problems as well as a human specialist, and doesn't need lots of labor-intensive training data.