“Medical Image Synthesis with Context-Aware Generative Adversarial Networks”(268次) “DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field”(245次) “3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes”(186次) “Accurate Pulmonary Nodule Detec...
Field from pydantic import BaseModel, Field # Creating a Pydantic object for structured output c...
In the medical field, the AI team from HUAWEI CLOUD working specifically on applications for healthcare industry cooperated with the KingMed Diagnostics in 2018 and made a breakthrough in the field of cervical cancer pathology. The sensitivity (true positive rate) exceeds 99%. The results from th...
“Medical Image Synthesis with Context-Aware Generative Adversarial Networks”(268次) “DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field”(245次) “3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes”(186次) “Accurate Pulmonary Nodule Detec...
Check-in process Challenge:Manual check-in processes are prone to errors, such as incorrect patient information and delayed data entry, which can slow down the entire patient intake process and affect the accuracy of medical records. Solution:AI-driven chatbots and automated check-in systems can ...
医学免疫学 Medical Immunology 第四章 抗体 (Antibody, Ab) 1 目的要求 1、掌握抗体、Ig的概念;掌握Ab的基本结构,熟悉 Ab的其他成分及酶解片段。 2、熟悉Ab的多样性及免疫原性。 3、掌握Ab的功能。 4、掌握各类Ab的特性与功能。 5、掌握单克隆抗体的概念,了解基因工程抗体、抗 体的制备。 2 Nobel Prize ...
Our work advances the field of human-computer collaboration in medicine by developing a multimodal XAI that generates human-like explanations to support its decisions and evaluating its influence on clinicians. The EU Parliament recommends that future AI algorithm development should involve continual collab...
A Survey on Deep Learning in Medical Image Analysis Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey Towards Bayesian Deep Learning: A Survey Deep Learning for IoT Big Data and Streaming Analytics: A Survey Feature-Based Ag...
Consulting firm helps to improve an organization's structure, management; efficiency and a Consulting logo say many things- reliability, technical skill, and knowledge of the field. Construction-Logo As a leading graphic design firm we offer full range of creative services from Branding (Logo), Ma...
百度开发了新的AI系统,名为同声传译和预期与可控延迟(STACL),百度声称这代表了自然语言处理的重大突破。 与大多数AI翻译系统不同,STACL能够在演讲者讲话后几秒钟开始翻译,并在句子结束后几秒钟内完成翻译。它与连续解释相反,翻译器等待,直到说话者暂停开始翻译。