• Classification

• Detection

• Segmentation

We work with a large scale of modalities such as:MRI (mp-MRI, bp-MRI, fMRI, T2, T2*, T1)CT (contrast, non-contrast-enhanced ). X-RayPET, SPECT, US, Digital patology

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Our workflow

Current projects

• Prostate cancer

• Breast cancer

• Aneurysms

• TBI

• Microbleeds

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Detection

Segmentation

Classification

Presence or absence of specific pathologies, abnormalities, grading the severity of a condition, predicting the likelihood of a particular outcome or treatment response.

The term refers to the process of precisely localizing a disease or abnormality i within the image, allowing for more precise analysis and diagnosis.

Accurate identification of the presence or absence of a specific type of pathology in medical images.

Prostate Cancer (PCA)

Our goal is to actively identify and segment cancerous regions within the prostate gland to aid in diagnosis and treatment planning.

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DAM Prostate 01 Include

• Tumor segmentation in the prostatic gland Segmentation of CZ and

• PTV (Prostate) segmentation

• OARs (Rectum, bladder, femoral head bones) segmentation

*We are engaged in a collaborative effort with healthcare facilities, particularly hospitals, to enhance and develop this task. Our aim is to create a state-of-the-art solution that meets the specific requirements and needs of clinicians. By partnering with healthcare professionals, we hope to create a solution that is both effective and practical.

DAM - Breast Solution

To help radiologists improve the predictive accuracy of screening mammography, we present a deep learning method that can detect breast cancer on screening mammograms using a "end-to-end" training technique that efficiently leverages training datasets with either full clinical annotation or merely the cancer status (label) of the entire image. Our training data include biopsy confirmed types of benign or malignant tumors.

• Breast cancer detection

• Tumor type classification

• Breast cancer metastases localization

*We are engaged in a collaborative effort with healthcare facilities, particularly hospitals, to enhance and develop this task. Our aim is to create a state-of-the-art solution that meets the specific requirements and needs of clinicians. By partnering with healthcare professionals, we hope to create a solution that is both effective and practical.

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DAM - Aneurysm

Our software is designed to analyze Head CTA images and assist with the triage and notification of potential cases of Brain Aneurysm (BA). The software uses advanced algorithms to flag and communicate the presence of BA in the images, allowing for early detection and timely intervention. It is indicated for use as a tool to aid medical professionals in the analysis and interpretation of Head CTA images, and can help to improve patient outcomes by facilitating early diagnosis and appropriate treatment

*We are engaged in a collaborative effort with healthcare facilities, particularly hospitals, to enhance and develop this task. Our aim is to create a state-of-the-art solution that meets the specific requirements and needs of clinicians. By partnering with healthcare professionals, we hope to create a solution that is both effective and practical.

Request co-operation