First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...
Abstract: Tumor segmentation is crucial for surgical planning and precise tumor resection for effective treatment. Traditionally, tumor localization has been performed using medical imaging techniques ...
WESTWEGO, La. — Robin Phillip’s fresh haircut is dyed her favorite color — green. But beneath the dye job is a scar that runs along the side of her head, the result of two craniotomies. For years, ...
Tumor segmentation in lung CT using U-Net, U-Net++ and an augmentation-enhanced U-Net. Best validation Dice: 0.807 (MSD lung dataset).
Officials estimate that pythons have killed 95% of small mammals as well as thousands of birds in Everglades National Park South Florida Water Management District via AP; AP Photo/Lynne Sladky ...
ABSTRACT: 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 ...
ABSTRACT: 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 ...
New python toolkit automates single-cell lineage tracing, accelerates tumor drug resistance analysis
Researchers at Tsinghua University have released a novel Python toolkit, scLT-kit, which automates the processing and analysis of single-cell lineage tracing data, delivering clear insights into how ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results