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The CTSpinoPelvic1K dataset introduces annotated CT images of spine, pelvis, ribs, and femora in one coordinate frame, focusing on lumbosacral transitional anatomy to aid in vertebra classification and clinical assessment.
This paper investigates parameter-efficient strategies for adapting large language models to 3D CT report generation, introducing RAD3D-Prefix, a lightweight diagnostic-prior conditioning framework that keeps the LLM frozen and requires minimal trainable parameters. It shows that freezing larger LLMs (~1B+) and training only lightweight projection layers provides a superior trade-off between performance, generalization, and computational efficiency.
An article featuring CT scans of BYD car parts, including a battery cell and switch panel, paired with a reflective essay on engineering in everyday objects.
This paper investigates episodic sampling from few-shot learning for class-balanced batch construction in medical image segmentation, showing improved performance under low-data conditions due to reduced overfitting and extended training iterations, with code available on GitHub.
Archaeologists used CT scans and 3D reconstruction to identify a Pompeii victim as a likely Roman doctor.
A CT scan of the Intel 386 processor's ceramic package reveals complex internal wiring, multiple power networks, and layered interconnect design, offering a rare look at the packaging technology of the 1985 chip.