Convolutional neural networks have made significant strides in medical image analysis in recent years. However, the local nature of the convolution operator inhibits the CNNs from capturing global and ...

ST Engineering has launched the Republic of Singapore Navy (RSN)'s first Victory-class Multi-Role Combat Vessel (MRCV), Victory, at its Benoi Yard. MRCV Victory is the first of six MRCVs to be built ...

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.

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 ...

Abstract: In recent years, the need for spine segmentation (including multi-class segmentation of vertebrae and intervertebral discs) has become more urgent due to the rise in spine-related diseases.

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

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 ...

Objectives: Accurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully ...

The CamVid example is only for one class segmentation (car). Did anyone able to apply Multi-class segmentation? If not ay ideas other than changing the activation to softmax?