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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.