breast cancer
Conditions
Sponsors
NO
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Deep learning-based breast tumor assisted diagnosis model: (1) Patients aged between 18 and 80 years old who underwent breast ultrasound examination in our hospital. (2) Patients diagnosed as 3-5 type of breast tumor by ultrasound, underwent surgery in our hospital and obtained postoperative pathological results. 2: Efficacy evaluation model of neoadjuvant chemotherapy based on deep learning: (1) Patients who received neoadjuvant chemotherapy in our hospital and obtained pathological results, and underwent ultrasound examination before and during chemotherapy with retained ultrasound images. (2) Aged between 18 and 80 years.
Exclusion criteria
Exclusion criteria: 1. Pregnant and lactating patients were not included in this study; 2. Patients with a prior history of breast tumor surgery, radiotherapy, or chemotherapy.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Ultrasonic image features;SEN, SPE, ACC, AUC of ROC; | — |
Countries
China
Contacts
Public ContactWan Caifeng
Renji Hospital Affiliated to Shanghai Jiao Tong University,School of Medicine
Outcome results
None listed