In this age of algorithms, personalized insurance is encountering legal limits, especially the ban on discrimination. Can we ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.

What is Intelligent Image Processing. Intelligent Image Processing is an important branch of computer vision, aimed at enabling computers to 'understand' images like humans do, by ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light vision dilemma" ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Abstract: Heart image segmentation is a critical task in medical image processing, which is crucial for the diagnosis and treatment planning of cardiovascular diseases. It helps doctors understand ...

Introduction: Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of ...

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...

Abstract: Tunnel cracks, as one of the early indicators of tunnel damage, have a significant impact on the safe operation of tunnels. However, due to the complex lighting conditions, background noise, ...