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AI in Cervical Pathology Diagnosis published in the “Scientific Reports”.

Cervical cancer is the 4th most common cancer in women (and the 4th leading cause of cancer death in women) globally. The research work conducted contributes to a more efficient detection of pre-malignant intraepithelial lesions.

This publication describes the creation of a new AI/ML tool for pathological diagnosis that allows the detection and classification of low-grade and high-grade pre-malignant lesions (LSIL/HSIL) of the cervix.

The development of this algorithm was carried out on whole-slide images, unlike the usual cropped images, and based on 2000 slides, representing a unique dataset and an effective improvement in the clinical diagnostic process.

“A CAD system for automatic dysplasia grading on H&E cervical whole-slide images” is the title of the new article published in the “Scientific Reports”.

This is the latest scientific article published by the team that integrates IMP Diagnostics and INESC-TEC researchers.

Access the Scientific Article here.

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