Langhui Medical Pointing Platform
from data to standard data setFull Process Smart Marker
With medical imaging big data as the core, the original clinical images are converted into high-quality, traceable, and reusable standard datasets. AI intelligent labeling and experts accurately sketch in-depth integration, full link embedded quality control mechanism - let the data truly empower medical research.
It's a lot of data.
变成Available scientific assets。
High-quality datasets, trusted by researchers.
A system of labelling and data set construction for medical image research
From data collection and desensitization to intelligent labeling, expert review, and standardized export - Langham Medical Labeling Platform provides scientific research-level standard data set full-process solutions for hospitals, research institutions, and medical AI companies. It's simple, user-friendly, and easy to get started even if you don't have a technical background.
One-stop platform Three core competencies
A system covers data management and annotation full links, transforming raw clinical images into high-quality, traceable, and reusable standard datasets.
A full process capability overview
- Imaging Data Management• Multiple-modular image capture • Image desensitization • Dataset access group
- Image Data Annotation: AI Smart Callout · Semi-Automatic/Manual Sketching · MPR 3D Visualization
- Review & Export• Standard data set delivery
Core function: Management . Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
The three functional modules are interlocked to form a complete production line from the original image to the standard data set.
Image data management tool from collection to entry
The data is in the inlet, it's in the hands of the authorities, it's in the good hands.
- Data collection: Local batch upload or docking PACS one-click pull in the hospital, DICOM image automatic recognition;
- Data De-identification: Built-in desensitization tools, anonymous rule customization, and patient privacy compliance from the source;
- 数据集构建: Individual research/collaborative research dual mode, flexible management of member visibility;
- 影像出入组• A fine screening by the standard of research, incorporating/excludes the marks throughout the process;
- Clinical Data Correlation: Patient/Study/VOI tertiary variable, Excel template batch import.
Image data label AI smart and accurate sketches
The smart-ass and expert precision.
- AI Autonotation: 180 + pre-trained segmentation model one-click batch reasoning, output Mask/Contour, no parameter adjustment;
- Manual/semi-automatic: 10 + tools such as free brush, fit sketch, lasso, auto-expand, mask smear, interactive segmentation, auto-tracking, etc.;
- 像素级编辑: Anchor point editing, free plasticity, interpolation between layers, copy-paste and shortcut keys;
- MPR 3-D Visualization: Multi-plane reconstruction + automatic generation of 3D lesions, calculating long and short diameters, volumes, and densities simultaneously;
- Multimodal Fusion: PET-CT integrated browsing, one-stop readings and validations.
The verification and export of the strict quality control of the scientific research direct connection
Quality control authority, delivery is the answer.
- Review Mechanism: Single-blind audits are highly suitable for routine quality control, and multi-blind cross-audit authorities are suitable for high-standard research;
- 协作与追溯:: A flexible distribution of audit tasks, mapping data for sharing, interoperability and blind review;
- 状态管理: To be → marked → Unaudited → Reviewed, the whole process can be traced;
- 标准化导出: image (DICOM/nii.gz), clinical data (Excel), sketch data (txt/nrrd/nii.gz) package download;
- 科研直连: Export immediate, direct-link radiology and deep-learning analysis tool chain.
Three steps to build quality standard data Set
Full-chain mass control mechanisms are embedded to ensure that each data is in accordance with scientific norms.
Eight front-line technical capabilities, fast and accurate.
From AI inference to three-dimensional verification, from privacy compliance to scientific research organizations - technical capabilities cover the entire link.
Deep learning segmentation technology + GPU batch reasoning, 180 + models out of the box.
Interactive separation and automatic tracking, with human resources working in tandem to significantly reduce the workload of sketches.
Automatic generation of axis/crown/vector three-plane + three-dimensional lesions, multi-dimensional verification of marking accuracy.
PET-CT image fusion, one-stop reading, sketching and verification.
The anchored editing, free plasticization, inter-layered values, and the label is precise and manageable.
Uploads are desensitized, rules are customized, and comply with the Data Security Law and the Personal Information Protection Law.
Video access team management, three-tier association of clinical variables, multi-centre collaboration friendly.
DICOM/nii.gz/nrrd/Excel mainstream format, directly connected to the scientific analysis toolchain.
Six scientific applications, from data to discovery.
High-quality data sets that allow data to be truly empowering for medical research.
Radiology analysis
Based on the precisely sketched mass image feature extraction, an imaging omics prediction model is constructed.
AI Auxiliary Diagnostic Model
The training set/validation set is quickly constructed to support the development of disease detection and classification models.
Disease classification studies
VOI-level classification labels are linked to clinical data to support intelligent classification research.
Quantification of treatment response
Pre- and post-treatment images are compared to the size of the stove, assessing trends in efficacy.
Post-pregnant model studies
Combined modeling of image phenotype + clinical data to build predictive models of disease prognosis.
Multi-centre collaborative research
Multi-expert, multi-thematic cloud synergetic, ISO and shared.
Strict clearance Quick-check Quick-track Quick-track security compliance
Two-track audit mechanism + full link state traceability, so that each standard dataset can withstand academic verification.
单盲审核
The auditor checks the annotated results and independently gives the review. Efficient and suitable for routine quality control.
General scientific quality control preferred- A blind cross-check.
Independent cross-review by multiple experts to comprehensively determine the accuracy of labeling. Authoritative and suited to high standards of research.
High standard research recommendationsFour main differential advantages.
It is not just a labeling tool, but a production line for scientific data assets.
Smart and expert double-wheel drive
180 + AI pretrained models are responsible for efficiency, medical experts are responsible for accuracy - both efficiency and quality, and bid farewell to manual and inefficient labeling.
One-stop closed loop for the whole process
Acquisition, desensitization, annotation, review, export, and analysis are done in the same platform, eliminating the need to switch back and forth and format conversion between multiple tools.
Research-grade & Traceable
Inbound and outbound traces, audit status traceability, annotation rule versioning - each dataset is descriptive, reproducible, and reusable.
Security compliance bottom
Desensitization, permission isolation, and privatization are deployed to meet hospital data security and regulatory compliance requirements.
:: Access to platform programmes
Leave your request and we will respond within 2 hours during working hours to provide you with platform demonstrations and dataset planning suggestions for scientific research scenarios.
It's an exclusive program for your scientific scene.
- 1: 1 platform function demonstration (AI annotation/MPR 3D/quality control audit whole process);
- (a) A proposal for a plan for the construction of data sets that combines your section and subject direction;
- (a) Privatization deployment programmes and data security compliance notes;
- Reference to the case of scientific cooperation and multi-centre collaboration.
It may also be directly linked to:
Phone 137-5502-0164 ｜ Email lk@langhuiai.com
Let the data really enable medical research.
Schedule a demo today to get platform solutions and dataset planning advice for your research scenario.