Dataset Overview
Definition：Pathology Whole-Slide Digital Images and Diagnostic Reports Datasetis provided byChangsha Langhui Information Technology Co., Ltd.Integrated high-quality pathology data. WSI (Whole Slide Image) full-slice digital images and complete pathology diagnostic reports covering 20 times and above scans, containing key information such as immunisation (ER/PR/HER2/Ki-67), TNM spacing.
| Dataset Name | Pathology Whole-Slide Digital Images and Diagnostic Reports Dataset |
| Total Data Volume | A lot of WSI all-slice digital images |
| Data Type | WSI image (20+)+ pathological diagnostic report |
| Data Source | Resale |
| License Type | Sublicensing Complete authorization documents are attached |
| Immunization (ER/PR/HER2/Ki-67), TNM phased, organizational, surgical | |
| Scan Magnification | 20 times and above high-rate digital pathology scan |
Core Data Fields
Each piece of data contains complete structured fields that cover everything from raw data to specialized diagnostics.
| Field Category | Field Count | Typical Fields |
|---|---|---|
| WSIImage | 6 | WSI files, scanning multiplier (20x/40x), image size, pyramid hierarchy, scanner model |
| Pathological diagnosis | 10 | Full pathology diagnosis, type of tissue, organizational classification, celerosis, pulsation |
| Immunization | 8 | ER/PR/HER2/Ki-67/p53/E-cadherin Status/expression/ Rating |
| TNM phased | 5 | T-phase, N-phase, M-phase, total, AJCC version |
| 4 | Division, method of operation, type of specimen (lives/cuts), age/sex of patient (de-identification) |
Data Sample Showcase
The following is a de-identified structured JSON sample illustrating the typical data format.
Other Organiser
"case id": "WSI-2023-0002345",
"Meta": "organ": "milk", "procedure": "adaptative root," "scan mag": "40x",
"Pathology" : {"dx": immersion catheter cancer, non-special type," "grade": "Nottingham 6", "margin": "negative"},
"ihc": {"ER": "positive" (90%, 3+), "PR": "positive" (70%, 3+), "HER2": "negative (1+), "Ki-67": "25%"},
"tnm": {T"2(2.5cm)}N": "N1(1/12)", "M": "M0", "stage": "IIB"}
♪ I'm sorry ♪AI Application Scenarios
Paramedical AIS
WSI training in depth learning model for automatic detection of tumor areas, classification of tissue types and classification of levels.
Immunisation group smart interpretation
Training on ER-EDI data, achieving automatic QQuantification ER/PR/HER2/Ki-67.
TNM smart-term
TNM phased prediction model for integrated pathology and immunization group information training.
Micro-environment analysis of the tumor
WSI data are used for automatic quantification of micro-environmental characteristics such as tumour impregnation of lymphocytes.
Pathology Teleconsultation AI
AI pre-trial and ancillary diagnostics that support the telepathology consultation platform.
Automation of pathology control
Training in the Auto-Assessment Model for the Quality of Speculations and the Diagnostic Consistency Testing Model.
Frequently asked questions
Need for customised medical data programs?
Changsha Langhui Information Technology Co., Ltd. The DataAssetsAPI platform is dedicated to providing high-quality, compliant medical data assets for AI companies and scientific research institutions. Cooperate with 50 + hospitals, including Fudan 100 type hospitals.
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