Accurate and reliable segmentation of multiple sclerosis (MS) lesions from magnetic resonance imaging (MRI) is essential for diagnosis and monitoring disease progression. Therefore, a robust and ...

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...

Recent advances in neural network methodologies have revolutionised the analysis and classification of chromosome images, streamlining traditionally labour‐intensive processes in cytogenetics. Modern ...

Abstract: Cervical cancer ranks as a major cause of death among women globally, making essential for effective treatment. The automated examination of Pap smear images through sophisticated machine ...

Google updated its Google image SEO best practices help document to recommend that you use the same image file name URL for the same image, even if you place that same image on different pages on your ...

Abstract: Medical image segmentation has made signiffcant strides with the development of basic models. Speciffcally, models that combine CNNs with transformers can successfully extract both local and ...

Abstract: People across the world are showing keen interest in maintaining their weight, selecting healthier foods for eating, and also trying to avoid the obesity problems. Systems with dietary ...

This project implements a multi-task nnU-Net v2 pipeline for pancreas and lesion segmentation from 3D CT scans. The model leverages a shared encoder for feature extraction and dual decoders for ...