As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This is a heavily engineered, image-only, machine-learning-ready ...
This project supports all types of 2D medical X-ray images, including chest, dental, and others. It performs super-resolution and denoising using a RealESRGAN-based model. The application supports ...
Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. Multiple ...
The accurate and rapid detection of cardiac troponin I (cTnI) at the point of care is crucial for the timely diagnosis of myocardial infarction (MI). This study introduces an advanced lateral flow ...
Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
2 School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China 3 School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China ...
1 Laboratory of Computer Engineering, Data Science and Artificial Intelligence, Department of Computer & Telecommunications Engineering, National Higher Polytechnic School, Douala, Cameroon. 2 ...
Abstract: In this paper, we highlight image segmentation in the field of medical diagnosis, with a special emphasis on the accurate identification of retinal vessels in fundus images. Achieving ...
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