Tizhoosh Hamid Reza, Pantanowitz Liron
Kimia Lab, University of Waterloo, Canada.
Huron Digital Pathology, Engineering Department, St. Jacobs, ON, Canada.
J Pathol Inform. 2018 Nov 14;9:38. doi: 10.4103/jpi.jpi_53_18. eCollection 2018.
In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that need to be overcome in order to exploit the AI potentials in computational pathology. In this paper, we strive to provide a realistic account of all challenges and opportunities of adopting AI algorithms in digital pathology from both engineering and pathology perspectives.
鉴于人工智能(AI)近期在计算机视觉应用中取得的成功,许多研究人员和医生期望AI能够协助数字病理学中的许多任务。尽管机遇明显且切实存在,但为了在计算病理学中发挥AI的潜力,显然还有许多挑战需要克服。在本文中,我们力求从工程学和病理学的角度,对在数字病理学中采用AI算法所面临的所有挑战和机遇给出一个实际的描述。