A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Abstract: Image captioning is a crucial process that connects text to images. Transformer-based deep learning models have successfully created captions, especially for Arabic. This paper introduces ...

In one of the largest overnight strikes since the war began, Russia unleashed some 614 drones, ballistic and cruise missiles across Ukraine, killing one, injuring dozens and destroying an ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

COPD affects approximately 391 million people globally. While spirometry is recognized as the gold standard for diagnosing COPD according to the GOLD guidelines, its availability is limited in primary ...

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...

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A key requirement is properly labelled image data. To better support customers throughout the entire workflow of preparing image data, MVTec Software is expanding the functionalities of its Deep ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Background: The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).