Abstract: Brain tumor segmentation plays a critical role in accurate diagnosis and treatment planning but remains challenging due to complex tumor boundaries and variations across MRI sequences.

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

Accurate segmentation is crucial for clinical applications, but existing models often assume fixed, high-resolution inputs and degrade significantly when faced with lower-resolution data in real-world ...

Accurate medical image segmentation is crucial in clinical applications. The existing Swin-UNet model overcomes the limitations of traditional Transformers in handling local details and high-frequency ...

The final, formatted version of the article will be published soon. Rice early tillering characteristics are key indicators for high-yield breeding, with tiller number and tillering rate as core ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

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 ...

1 School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China 2 School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China ...

On June 11, 2025, Vanguard filed an application with the U.S. Securities and Exchange Commission for a multi-class active ETF structure. The filing requests approval of a structure where Vanguard can ...