Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Bristol Myers partners with Microsoft for AI-driven lung cancer detection

Bristol Myers Squibb said on Tuesday it had signed an agreement with Microsoft to use the tech company's AI-enabled radiology ...
Fierce Biotech

Bristol Myers Squibb taps Microsoft's AI detection network for speedy lung cancer diagnosis

Microsoft and Bristol Myers Squibb have signed a new pact aimed at identifying lung cancer cases more quickly. | Microsoft ...

This innovation saved lives in the pandemic. Now it’s showing strength against cancer.

The experimental mRNA-based drug sharply reduced the risk of recurrence or death when combined with immunotherapy Keytruda, ...
IEEE

A Novel Approach Using Image Enhancement and AI Techniques for Enhancing Skin Cancer Detection with Deep Learning

Abstract: Automated systems for skin cancer detection (ASCD) powered by Artificial Intelligence (AI) and Deep Learning (DL) have become critical tools in improving diagnostic accuracy, offering a ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
IEEE

Lung Cancer Detection Using Multiple Machine Learning Algorithms

Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

A Hybrid CNN-LSTM Multi-Modal for Early Detection and Recurrence Prediction of Ovarian Cancer and Model Transparency using SHAP and LIME

Abstract: Ovarian cancer is one of the deadliest cancers in women because it shows no clear symptoms in the early stages and often returns after treatment. Current detection methods are not strong ...
IEEE

Detection of Hazardous Materials in Skin Care Products Based on Product Packaging Label Images Using a CNN Model

Abstract: Advances in image processing technology have enabled automation in various aspects of life, including the safety of cosmetic products. This study aims to develop a hazardous ingredient ...