AIMC Topic: Early Detection of Cancer

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A Dual-stage Deep Learning Framework for Breast Ultrasound Image Segmentation and Classification.

Journal of medical systems
Deep Learning methods have become a powerful tool in medical imaging, with great potential to improve diagnostic accuracy and support early disease detection. This is especially critical for breast cancer, one of the most common cancers among women, ...

Colonoscopy Quality and Strategies for Improvement.

Gut and liver
Colonoscopy plays a pivotal role in colorectal cancer (CRC) screening and reduces CRC incidence and mortality. Its effectiveness depends on colonoscopist performance, which can vary. Missed lesions during colonoscopy can lead to post-colonoscopy CRC ...

Sentiment analysis of cancer screening in Chinese social media: Qualitative studies based on machine learning.

PloS one
PURPOSE: Explore public perceptions and sentiments about cancer screening on social media. The dissemination of misinformation and negative attitudes continue to impede the access of many individuals with perceived risk to cancer screening services d...

Machine learning-enhanced direct mass spectrometry analysis of non-volatile breath metabolites for rapid and accurate lung cancer screening.

Analytical methods : advancing methods and applications
Breath analysis by direct mass spectrometry faces significant challenges due to the inherent complexities in sample collection, low analyte concentrations, and accurate compound identification. While current breath analysis primarily focuses on volat...

Deep learning-based bacterial foraging optimization algorithm to improve digital mammography-based breast cancer detection.

Scientific reports
This study focuses on improving the detection of breast cancer at an early stage. The common approach for diagnosing breast cancer is mammography, but it is quite tedious as it is subject to subjective analysis. To address these challenges, the resea...

A systematic literature review on mammography: deep learning techniques for breast cancer detection with global and Asian perspectives.

BMC cancer
PURPOSE: Breast cancer remains a leading cause of mortality in women worldwide, with notable disparities in incidence and prognosis across regions. This systematic review explores the application of Deep Learning-based computer-aided diagnostic (CAD)...

Enhancement and optimization of a graphene-based biosensing platform using machine learning for precise breast cancer detection.

Scientific reports
In this study, we introduce a machine learning optimized graphene-based biosensor tailored for the early and accurate detection of breast cancer, aiming to elevate diagnostic reliability and clinical efficacy. The device employs a multilayer Ag-SiO₂-...

Raman spectroscopy and machine learning for early detection of gastric cancer and Helicobacter pylori with gastric juice.

Scientific reports
Gastric cancer is a leading cause of cancer-related mortality and highlights the need for early detection of gastric cancer and Helicobacter pylori (HP) infection, which is a major risk factor. Early non-invasive and convenient diagnostic tools capab...

Ultrasensitive Detection of m A-Modified RNA Using CRISPR/Cas12a-Integrated Iontronic Biosensor with Hydrophobized Nanochannels: Toward Early Cancer Diagnosis by Machine Learning.

Analytical chemistry
N -methyladenosine (m A), the most prevalent internal modification in eukaryotic RNAs, has emerged as a focal point of intensive research in recent years owing to its pivotal regulatory roles in carcinogenesis, progression, and metastasis. However, c...

Secure and interpretable lung cancer prediction model using mapreduce private blockchain federated learning and XAI.

Scientific reports
Lung cancer continues to be one of the most widespread and deadly cancer diagnoses that affects humans worldwide. Early detection of lung cancer leads to decreased mortality rates; however, several challenges hinder the development and deployment of ...