Medical pic means fibrotic disease of the lungs of the respiratory system.
There are many causes of pulmonary fibrosis. The main ones include inflammation, tumors, and tuberculosis. When pathogens enter the lungs, they cause an inflammatory response in the lungs. Fibrous products increase and are deposited in the lungs to produce pulmonary fibrous lesions. Pulmonary fibrosis is an irreversible disease. Just like the scarring that occurs when the skin is damaged, it cannot be removed.
Medical PIC (Precision Imaging and Computing) covers a wide range of fields, including medical imaging, bioinformatics and computational biology, and aims to provide more accurate and intelligent support for clinical diagnosis and treatment through high-precision medical imaging and data analysis.
PIC technology mainly includes medical image processing, computer-aided diagnosis, medical big data analysis, and precision medicine. Among them, medical image processing is one of the core technologies of PIC, which realizes precise detection and localization of lesions through pre-processing, image segmentation, feature extraction and other operations on medical images.
Computer-aided diagnosis, on the other hand, utilizes medical imaging and bioinformatics technologies to intelligently diagnose diseases and improve diagnostic accuracy. Medical big data analysis, on the other hand, mines and analyzes massive medical data to reveal the laws and mechanisms of disease occurrence and development, and provides data support for clinical decision-making.
PIC technology is widely used in the field of medicine, mainly including the following aspects:
1, medical image processing: through the pre-processing of medical images, image segmentation, feature extraction and other operations, to achieve accurate detection and localization of lesions, to provide more accurate information for clinical diagnosis.
2. Computer-aided diagnosis: Utilizing medical imaging and bioinformatics technology, intelligent diagnosis of diseases is carried out to improve diagnostic accuracy and reduce leakage and misdiagnosis.
3. Medical big data analysis: mining and analyzing massive medical data to reveal the laws and mechanisms of disease occurrence and development, provide data support for clinical decision-making, and improve medical quality and safety.
4, precision medicine: through gene sequencing, biomarker analysis and other technologies, to achieve precise diagnosis and treatment of individuals, to improve the treatment effect and patient survival rate.