IEEE

SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition

Abstract: Capitalizing on image-level pre-trained models for various downstream tasks has recently emerged with promising performance. However, the paradigm of “image pre-training followed by video ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
Electronics For You

AI-Based Gateman System To Record Vehicle Number Plates

An earlier version of this automatic gateman system, built around a camera-based design, was published on the Electronics For ...
Analytics Insight

Top 10 Must-Know Python Libraries for Data Science in 2026

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into clear and simple charts, making it e ...

Clutch Names Excellent Webworld a Top Performer in AI, ML, App, SaaS, and Software Development Services Across the U.S

Excellent Webworld earns multi-category recognition from Clutch, highlighting 15+ years of client-verified excellence ...
IEEE

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...
Frontiers

Editorial: Application of deep learning in biomedical image processing

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...