From data to diagnosis: How AI is helping doctors detect disease

AI can scan large amounts of imaging data and highlight areas that may need closer review One of the main challenges in ...
House Digest on MSN

Don't toss candle wax scraps — use a toilet paper roll to DIY a brand new one

If there's just a nub left of your once-pretty candle, don't throw it away. Remove the wax from the container and repurpose ...
IEEE

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Abstract: Automatic assessing the location and extent of liver and liver tumor is critical for radiologists, diagnosis and the clinical process. In recent years, a large number of variants of U-Net ...
IEEE

MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation

Abstract: For medical imaging tasks, it is a prevalent practice to have a multi-modality image dataset, as experts prefer using multiple medical devices to diagnose a disease. Each device can show ...
GitHub

Robotic Instrument Segmentation challenge

This repo contains my solution for the Robotic Instrument Segmentation Sub-Challenge which was part of the Endoscopic Vision Challenge held in conjunction with MICCAI 2017. The challenge webpage can ...
GitHub

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Figure 1. An illustration of the proposed TMSS architecture and the multimodal training strategy. TMSS linearly projects EHR and multimodal images into a feature vector and feeds it into a Transformer ...