The Medical Teaching Image Dataset is a high-quality image resource to assist medical teaching.

The Clinic Electronic Medical Record Q&A Dataset focuses on image data mining in the healthcare field.

The blood collection nurse operation process video dataset aids in posture and hand trajectory analysis in the healthcare field.

This dataset is designed to support the application and development of machine learning technology in emergency medical scenarios.

The Waiting Room Prompt Speech Recognition Audio Dataset aims to improve speech recognition efficiency in healthcare settings.

The ICU Equipment Interface Image Recognition Dataset is used to enhance the accuracy of medical equipment interface recognition.

The Accompanied Communication Voice Dialogue Dataset is specifically designed for TTS training to enhance the model's ability to generate speech for everyday communication.

A dataset for voice semantic segmentation in noisy ER environments, assisting intelligent medical systems in improving speech recognition performance.

The Dental Clinic X-ray Image Caries Segmentation Dataset is fundamental data for improving caries detection accuracy.

The Pharmacy Prescription Text Extraction Dataset focuses on extracting and recognizing text data from medical prescription images.

The operating room instrument recognition dataset is used to improve the efficiency of instrument automatic identification and management in a medical environment.

The Dental Treatment Process Action Recognition Dataset is used to improve the accuracy and efficiency of dental treatment action recognition.

An image recognition dataset for medical sleep quality monitoring instruments, aimed at improving instrument detection accuracy.

The blood sample microscopic image classification dataset is used to improve the precision of automated blood sample analysis.

The Device Operation Abnormal Alarm Audio Detection Dataset focuses on the field of safety protection audio, enhancing the precision and responsiveness of alarm systems.

The Nurse Station Call Voice Command Recognition Dataset is dedicated to improving the accuracy of voice command recognition in medical environments.

The CT Imaging Lung Nodule Detection Dataset focuses on improving the accuracy of lung nodule detection in the healthcare sector.

A high-quality dataset to enhance the accuracy of drug image recognition in intelligent pharmacy systems.

This dataset captures the hand instrument operations and trajectories of dentists during dental surgery.

This dataset is an effective tool for enhancing the analysis of physical activity behaviors and rehabilitation outcomes in the medical and health field.