CT Image
Computed tomography (CT) imaging produces detailed 3D images of the body, crucial for diagnosis and treatment planning across various medical specialties. Current research emphasizes improving CT image analysis through deep learning, focusing on architectures like U-Nets, Vision Transformers, and diffusion models for tasks such as organ segmentation, lesion detection, and image enhancement. These advancements aim to increase diagnostic accuracy, improve treatment planning, reduce radiation exposure, and enable more efficient workflows in clinical settings.
Papers
December 19, 2023
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October 27, 2023
Parameter-Efficient Methods for Metastases Detection from Clinical Notes
Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis
Ziquan Zhu, Jing Tao, Shuihua Wang, Xin Zhang, Yudong Zhang
October 12, 2023
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