Abstract: Traditional machine learning (ML) techniques have limitations that make it difficult for existing algorithms to diagnose cervical cancer. These limitations include lower accuracy and an ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Deep learning CNN for automated cervical cancer detection using Pap smear images, with Streamlit deployment & Grad‑CAM. This project implements a deep learning Convolutional Neural Network (CNN) for ...

Australia has passed a significant milestone in the quest to eliminate cervical cancer, recording zero new cases in people younger than 25 years in 2021, an achievement that has been attributed to the ...

Cervical cancer screening can now include “self-swab” HPV tests, according to updated guidelines published Thursday by the American Cancer Society. The change, experts hope, will encourage more women ...

Objective: This study aims to develop and evaluate an artificial intelligence-based model for cervical cancer subtyping using whole-slide images (WSI), incorporating both patch-level and WSI-level ...

User interface of the Intelligent Digital Education Tool for Colposcopy (iDECO). This figure illustrates the main user interface of iDECO, a bilingual (Chinese and English) web-based platform for ...

Background: Cervical cancer is a significant global public health issue, primarily caused by persistent high-risk human papillomavirus (HPV) infections. The disease burden is disproportionately higher ...

The application of machine learning (ML) to oncology is accelerating breakthroughs in cancer detection, diagnosis, and treatment, with gynecological cancers emerging as a key area of innovation. In a ...