Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

pyimcyto is a python library for nuclear and cellular segmentation in imaging mass cytometry images. The segmentation model uses a U-net++ archiecture with autoencoder-based anomaly detection to ...

This project uses uv for package management. See AGENTS.md for complete development guide.

Ann Behan has 10 years-plus of experience researching, writing, and editing articles, white papers, and executing searches at the board level across various industries. Her expertise includes ...

Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Abstract: Medical image segmentation and classification are two of the most key steps in computer-aided clinical diagnosis. The region of interest were usually segmented in a proper manner to extract ...

Abstract: Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US image segmentation is crucial in image analysis. Recently, deep learning-based methods are ...

Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...