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    AVIEW: LCSAVIEW: LCS PLUSAVIEW: COPDAVIEW: CACAVIEW: Lung TextureAVIEW: NeuroCADAVIEW: ModelerAVIEW: ResearchAVIEW: RT ACSAVIEW: Pseudonymization Server

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    • Products
    • AVIEW RT ACS

    Accurate differentiation of organs before radiotherapy leads to effective treatment.

    A medical AI automatically segmenting organs accurately and rapidly.

    A medical AI automatically segmenting organs accurately and rapidly.

    MFDS • CE Clearance

    Rapid organ segmentation

    Total of 36 organs can be automatically segmented.

    • Head&Neck segmentation
      Heart, breast, thyroid, esophagus, spinal cord, lymph nodes
    • Breast segmentation
      Lungs, liver, stomach, duodenum, kidneys
    • Abdomen segmentation
      Rectal, intestines, bowel, bowel, bladder, cervix, stomach, duodenum, spinal cord, horse gun, femur
    • Pelvic segmentation
      Brain, brain stem, eye, inner ear, larynx, lens, mandible, optic nerve crossing, optic nerve, oral cavity, parotid glands, pituitary gland, submandibular glands, spinal cord, thyroid

    Conveniently plan your radiotherapy.

    The segmented data is automatically transmitted to the treatment planning system (TPS).

    Automated complex organ segmentation

    Organ section is automatically segmented and you can adjust your results with minor inputs.

    Evidence

    • Evaluation of Deep Learning-Based Auto-Segmentation of Target Volume and Organs-at-Risk in Breast Cancer Patients

      International journal of radiation oncology biology physics, 2021

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    • Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery

      Radiation Oncology, 2021

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    • Evaluation of Deep Learning-based Auto-segmentation in Breast Cancer Radiotherapy

      Radiation Oncology, 2021

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    • Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network

      Nature/Scientific Reports, 2020

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