Radiology report generation (RRG) aims to automatically generate free-text descriptions
from clinical radiographs, eg, chest X-Ray images. RRG plays an essential role in promoting …

Recent advancements in biomedical image analysis have been significantly driven by the
Segment Anything Model (SAM). This transformative technology, originally developed for …

Abstract The Segmentation Anything Model (SAM) has demonstrated effectiveness in
various segmentation tasks. However, its application to 3D medical data has posed …

In computational pathology, several foundation models have recently emerged and
demonstrated enhanced learning capability for analyzing pathology images. However …

Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in
ophthalmology for visualizing retinal layers, aiding in the early detection and monitoring of …

Accurate classification of blood cells plays a vital role in hematological analysis as it aids
physicians in diagnosing various medical conditions. In this study, we present a novel …

In medical imaging, the classification and segmentation of lesions have always been
significant topics in clinical research. Different categories of lesions require different …

随着大模型技术的不断发展, 以分割一切模型(segment anything model, SAM)
为代表的视觉大模型在图像分割领域取得重要突破. SAM 通过提示驱动完成一系列下游分割 …

The Segment Anything Model (SAM) marks a significant advancement in segmentation
models, offering powerful zero-shot capabilities and dynamic prompting. However, existing …

Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in
ophthalmology for visualizing retinal layers, aiding in early detection and monitoring of …