Online learning for X-ray, CT or MRI
Not on the map. Why?
Abstract (arXiv)
Medical imaging plays an important role in the medical sector in identifying diseases. X-ray, computed tomography (CT) scans, and magnetic resonance imaging (MRI) are a few examples of medical imaging. Most of the time, these imaging techniques are utilized to examine and diagnose diseases. Medical professionals identify the problem after analyzing the images. However, manual identification can be challenging because the human eye is not always able to recognize complex patterns in an image. Because of this, it is difficult for any professional to recognize a disease with rapidity and accuracy. In recent years, medical professionals have started adopting Computer-Aided Diagnosis (CAD) systems to evaluate medical images. This system can analyze the image and detect the disease very precisely and quickly. However, this system has certain drawbacks in that it needs to be processed before analysis. Medical research is already entered a new era of research which is called Artificial Intelligence (AI). AI can automatically find complex patterns from an image and identify diseases. Methods for medical imaging that uses AI techniques will be covered in this chapter.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 39 references that are in the map. First posted on arXiv 10 Jun 2023.
Builds on
4 of 39 references.
References · 4
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
- 2016Identity Mappings in Deep Residual Networkscited by 1,960
- 2022Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysiscited by 9
- 2021The Prominence of Artificial Intelligence in COVID-19cited by 7
Built on by
Citing papers per year: 2025: 1.
1 paper.