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Upper abdominal cancer data.

5 million cases of upper abdominal multiple organ cancer indicated ⁇ liver/courage/insulin/punuse/adrenal/renal lymphoma knot ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇

5 Million
Casesdata
7 organs
Multi-organ cover
Image + Annotation
Resale
Data Source
January
Delivery Cycle

Dataset Overview

Definition：Upper abdominal cancer data.is provided byChangsha Langhui Information Technology Co., Ltd.The medical data set is available. It covers cancer and benign pathologies in the upper abdomen of seven upper abdominal organs, including liver (hepato-vascular cancer/vascular tumor), gall bladder (cholesterol cancer), pancreas (pancreas/cystoma), spleen (egoglomeral cancer), adrenal (adrenal cancer), kidney (renal cancer), abdominal lymphoma (lymphatic lymphoma/reactive growth).

Dataset NameUpper abdominal cancer data set
Total Data VolumeFive million multi-organ representation data
Data TypeMedical Images + Annotation
Covered OrgansLiver, gallbladder, pancreas, spleen, adrenal gland, kidney, abdominal lymph nodes
Type of diseaseCancer (hepatic/cholecal/pancreatic, etc.) and benign pathologies (vascular/cystal, etc.)
License TypeSublicensing

Core Data Fields

Each piece of data contains complete structured fields, covering all requirements from basic metadata to professional analysis.

Field CategoryField CountTypical Fields
Liver12Hepatitis cancer (HCC/ICC), angioma, hepatic cysts, cirrhosis, fat liver
Gall bladder6Cystic cancer, gallbladder flesh, gallbone stones, gallbarrow inflammation.
Pancreas8Pancreas cancer (insulin/insulin/insulin), scyte cancer, pancreasitis
Spleen/adrenal gland/renal10Spleen angioma/lymphoma, adrenal adenoma/cancer, kidney cancer (RCC), kidney cyst
5Classification of lymphoma/reactive growth position, size, lymphoma

Data Sample Showcase

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

{
  "case_id": "ABD-2023-0001234",
  "meta": {"organ": "sample value","modality": "CNCT"},
  "lesion": {"type": "sample（HCC）","size_mm": 45,"segment": "VIIICN","enhancement": "sample value"},
  "other_findings": [{"organ": "sample value","finding": "No acute abnormality"}],
  "diagnosis": "sample（HCC），BCLC BCN"
}

AI Application Scenarios

Auxiliary diagnosis of abdominal tumor

Multi-organ identification data are used to train abdominal tumour detection and classification models.

Joint multi-organ pathology analysis

The associated labels of seven organs support training in joint diagnostic models for multiple organs.

Hepatitis-Chaed-Chaps-Customs Identification

A rich data set has been developed to train diagnostic models for the identification of liver/cholesterol/pancreatic cancer.

Assessment of lymphoma transfer

The abdominal lymphoma emulation data is trained in the automatic lymphomphomous transfer assessment model.

Abdominal image report is generated.

Image-referenced associated data training abdominal image structured report generation model.

Tumorial support

A tumour training syllable system for the integration of multi-organ labelling information.

Frequently asked questions

What image patterns are covered by the data?
It covers the enhancement of a variety of abdominal image models such as CT, MRI and the precise indication of organ grade and pathogenic changes.
How precise is the label?
The disease-containing schematic stratification of key organs such as the liver, and the pathological degeneration and classification of other organs.
How to Get a Data Sample?
Please contactChangsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform.

Need a customized data solution?

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