Comparing AI anatomy segmentation models when ground truth is missing

As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to ...
Analytics Insight

Deep Learning for Computer Vision, Stanford University

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...
IEEE

A Recent Survey of Vision Transformers for Medical Image Segmentation

Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...
IEEE

Revisiting Audio-Visual Segmentation with Vision-Centric Transformer

Abstract: Audio-Visual Segmentation (AVS) aims to segment sound-producing objects in video frames based on the associated audio signal. Prevailing AVS methods typically adopt an audio-centric ...
Tech Xplore

A human-inspired pipeline could enhance the training of computer vision models

Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...