Nature

An adaptive multiscale local mesh ternary pattern technique with extensive pre-processing and Grey Wolf optimisation based classifiers for oral cancer image classification

This study introduces an enhanced texture-based algorithm for the classification of oral cancer images. The images are first extensively preprocessed to enhance the affected area with techniques like ...
Nature

CFM-UNet: coupling local and global feature extraction networks for medical image segmentation

In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, ...
Frontiers

DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding

Cysteine S-carboxyethylation, a novel post-translational modification (PTM), plays a critical role in the pathogenesis of autoimmune diseases, particularly ankylosing spondylitis. Accurate ...
GitHub

alex-on-ai/WebReaper

AI-native web scraper. Single binary with a bundled Claude Code skill. Embed in commercial software, fork, modify, redistribute. Firecrawl's AGPL requires open-sourcing your service or paying for a ...
Frontiers

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation

Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to ...
GitHub

Content-Based Image Retrieval

This is my project built for the Content-based Image Retrieval problem. In this project, I use the algorithm of indexing and searching Faiss (Facebook). Simultaneously combine many feature extraction ...