Langhui

Combined Hepatocellular Carcinoma WSI

5 million cases of Qupath fine area label HCC/ICC/MDD/TLS/MVI Class VI labels ⁇ liver cancer pathologies

5 Million
WSI Slides
Category 6
Qupath
Annotation Tools
Resale
Data Source
January
Delivery Cycle

Dataset Overview

Definition:Combined Hepatocellular Carcinoma WSIis provided byChangsha Langhui Information Technology Co., Ltd.Medical data sets provided. Covering 5 million cases of mixed liver cancer WSI whole slices, six types of fine area were labelled using Qupath: HCC (yellow), ICC (green), MID (ilvid), TLS (brown), MVI (blue), irregular lymphocycytes (red), providing high-value training data for hepatoma pathologies and micro-environment analysis of tumours.

Dataset NameMixed liver cancer WSI dataset
Total Data VolumeFive million cases of WSI sliced in full.
Data TypeWSI Image + fine area label
Annotation ToolsQupath (Professional Pathological Reference Platform)
AnnotationCategoryHCC/ICC/MD/TLS/MVI/Irregular lymphocytes
License TypeSublicensing

Core Data Fields

Each piece of data contains complete structured fields that cover everything from raw data to specialized diagnostics.

Field CategoryField CountTypical Fields
HCC Area (yellow)6Hepatic cell cancer in the subregion, degree of fragmentation, cell form, structural pattern
ICC region (green)6Hepatic cholesterol cell cancer in the subregion, gland tube formation, mesotheliosis
MID Area (Purple)4Intermediate/transitional areas, mixed fragmentation characteristics
TLS Area (Brown)4Level 3 lymphoma structure, immunocell concentration area
MVI Area (Blue)4Microvascular attack areas, intravascular cancer bolts
Lymphocyte cell group (red)3Unusual lymphocyte leachate area

Data Sample Showcase

The following is a de-identified structured JSON sample illustrating the typical data format.

Other Organiser
"slide id": "MHC-2023-000123",
"Annotations":
♪ "id": 1, "type": "HCC", "color": "yellow", "area pct": 42.5, "grade": "neutral" ♪
♪ "id": 2, "type": "ICC", "color": "green", "area pct": 28.3, "pattern": "Physic gland cancer",
"id": 3, "type": "MID", "color": "purple", "area pct": 15.2,
"features": ["HCC-ICC Transition Form", "Interim Immunization Table"]},
"id": 4, "type": "MVI", "color": "blue", "count": 3, "max diameter um":45.
I don't know.
"diagnosis": "Mixed liver cell cancer -- cholesterol cell cancer, TLS rich."
♪ I'm sorry ♪

AI Application Scenarios

Mixed liver cancer AI fraction

6 Class fine-marked training auto-spectrum model.

Micro-environment analysis of the tumor

TLS and lymphocytes are marked to study immuno-micro-environment.

Microvascular assault detection

MVI is marked with training in auto-detection of microvascular aggression.

Paralytic AA diagnostic of liver cancer

Integrated labelling of the AIS-assisted diagnostic system for training in pathology.

Post-prevalence assessment model

Pre- and post-training model for characterisation.

I got a drug target.

Micro-environment mapping of API target studies.

Frequently asked questions

How precise is the Qupath label?
The area-by-area markings are used by senior liver pathologists, with each of the areas marked being reviewed twice.
How to Get a Data Sample?
Please contactChangsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform.

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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