長いHui医学のポインティング プラットフォーム
データから標準データまで設定Full 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.
多くのデータです。
变成Available scientific assets。
High-quality datasets, trusted by researchers.
医療画像研究のためのラベル作成とデータセット構造のシステム
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.
ワンストッププラットフォーム3コアコンピテンシー
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
- 画像データ管理• Multiple-modular image capture • Image desensitization • Dataset access group
- Image Data Annotation: AI Smart Callout · Semi-Automatic/Manual Sketching · MPR 3D Visualization
- 審査とエクスポート• Standard data set delivery
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The three functional modules are interlocked to form a complete production line from the original image to the standard data set.
コレクションからエントリーまでの画像データ管理ツール
The data is in the inlet, it's in the hands of the authorities, it's in the good hands.
- データ収集: Local batch upload or docking PACS one-click pull in the hospital, DICOM image automatic recognition;
- データの非識別化: Built-in desensitization tools, anonymous rule customization, and patient privacy compliance from the source;
- データセット构建: Individual research/collaborative research dual mode, flexible management of member visibility;
- 画像出入组• 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.
画像データラベル AI スマートで正確なスケッチ
The smart-ass and expert precision.
- AIのオートノテーション: 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;
- 多モジュール融合: 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.
- レビューメカニズム: 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.
高品質の標準データセットを作成する3つのステップ
Full-chain mass control mechanisms are embedded to ensure that each data is in accordance with scientific norms.
8つの前部ライン技術的な機能、速くおよび正確。
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.
データから発見までの6つの科学的アプリケーション。
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.
疾患分類研究
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.
単盲検审核
The auditor checks the annotated results and independently gives the review. Efficient and suitable for routine quality control.
好まれる概要の科学的な品質管理- ブラインドのクロスチェック。
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.
スマートな、専門家の二重車輪ドライブ
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.
全工程のためのワンストップ閉鎖ループ
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.
研究級・追跡可能
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.
:: プラットフォームプログラムへのアクセス
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.
科学シーン専用のプログラムです。
- 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:
電話番号 137-5502-0164 | メール lk@langhuiai.com
データを実際に医療研究を有効にしてみましょう。
Schedule a demo today to get platform solutions and dataset planning advice for your research scenario.