AI-assisted diagnosisArtificial intelligenceChronic microbleedsConvolutional neural networkIntracranial hemorrhageNon-contrast CT scanLa radiologia medica - Artificial intelligence (AI)-driven software has been developed and become commercially available within the past few years for the detection of intracranial ...
deep-learningcnntorchpytorchneural-networksclassificationaccuracyresnettransfer-learningbrainresnet-50transferlearningcnn-classificationbrain-tumorbraintumourbrain-tumor-classificationbrain-tumourbrain-tumor-detection UpdatedApr 15, 2024 Jupyter Notebook sigma-py/accupy ...
Lunit Medical Director Ahn Chang-ho gives a briefing about the company's research in using AI to identify HER2 ultralow cells in front of the poster board at the American Society of Clinical Oncology (ASCO) 2024 Annual Meeting at the McCormick Place Convention Center in Chicago, Ill., from ...
AI model achieves high accuracy in skin cancer detection Led by Aliyu Tetengi Ibrahim and his team at Ahmadu Bello University, a study published in Data Science and Management on November 2, 2024, introduces an innovative AI model that could revolutionize the way dermatologists ... ...
Software bugs have been a concern for programmers for nearly 75 years since the day programmer Grace Murray Hopper reported the cause of an error in an early Harvard Mark II computer: a moth stuck between relay contacts. ...
Use of the high-accuracy AI improved readers' detection performance to a greater extent than low-accuracy AI. Use of high-accuracy AI also led to more frequent changes in reader determinations—a concept known as susceptibility. (A, B) Chest radiographs obtained as part of a health checkup ...
Synergistic Integration of GAN and Ensemble Learning: In the proposed model, feature extraction using GAN is integrated with the weighted ensemble learning system to improve the results of the text detection produced by AI. Extensive Text Representation: The suggested method makes use of a thoroughly...
AI实战: YOLOv4: Optimal Speed and Accuracy of Object Detection,程序员大本营,技术文章内容聚合第一站。
The DL object-detection network is RetinaNet, which is composed of a CNN to identify regions of interest [20, 21]. RetinaNet was trained on annotated data sets in a supervised manner via a backpropagation algorithm. When cytopathologists analyzed samples at 10 × magnification, the AI ...
There will be no more skimming through only the first few pages of a website before purchasing it. Concerning the Originality.AI website, it does a comprehensive Plagiarism Check and AI Detection Check on all of the material. It then scans the whole of the website. ...