OBJECTIVES Prompt diagnosis of giant cell arteritis (GCA) with ultrasound is crucial for preventing severe ocular and other complications, yet expertise in ultrasound performance …
Background and purpose: Conventionally, the contours annotated during magnetic resonance-guided radiation therapy (MRgRT) planning are manually corrected during the RT fractions, …
Experimental exploration of the vast number of potentially effective organic inhibitors presents a major bottleneck in finding suitable alternatives for chromate-based corrosion …
This work presents a two-step deep learning framework to streamline breast cancer diagnosis using unannotated mammogram images. The first step employs a U-net model to segment mass …
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held in conjunction with the MICCAI 2019 Conference in Shenzhen (China). The competition required participants to …
Obtaining large pre-trained models that can be fine-tuned to new tasks with limited annotated samples has remained an open challenge for medical imaging data. While pre-trained …
Federated Learning (FL) could solve the challenges of training AI models on large datasets for medical imaging due to data privacy and ownership concerns by allowing collaborative …
Artificial intelligence (AI) has gained prominence in medical imaging, particularly in obstetrics and gynecology (OB/GYN), where ultrasound (US) is the preferred method. It is …
Progress depends as much on our collective differences as it does on our individual IQ scores. ( Scott E. Page1) Cancer cachexia is a complex syndrome affecting an estimated 80% of …
Chemical staining of the blood smears is one of the crucial components of blood analysis. It is an expensive, lengthy and sensitive process, often prone to produce slight …
