Zekun Jiang

A Deep Learning System for Automatic Localization of Anatomical Landmarks in X-rays to Assist in Diagnosis and Surgical Planning

Accurate localization of anatomical landmarks is crucial for clinical diagnosis and treatment assessment. However, existing Convolutional Neural Network (CNN)-based methods may result in global spatial information loss and consequent localization failures in the presence of complex anatomical structures or parenchy...

Large Language Model Benchmarks in Medical Tasks

With the increasing application of large language models (LLMs) in the medical domain, evaluating these models' performance using benchmark datasets has become crucial. This paper presents a comprehensive survey of various benchmark datasets used in medical LLM tasks. These datasets span multiple modalities including t...

Current Medical Imaging