25 May 2026Open access
Patch-Based Multi-Head Self-Attention Framework for End-to-End Low-Grade Glioma Segmentation from Magnetic Resonance ImagingPublisher siteResearch Square, Brain Tumor Detection and Classification
Active, last published 2026
In ai in cancer detection
Peter
Appiahene
Scholar“Research focused on AI in cancer detection and adjacent fields.”
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01 · About the work
What I study
eter Appiahene is a researcher working on AI in cancer detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Peter's work has been cited 1,054 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
AI in cancer detection×8Digital Imaging for Blood Diseases×7Iron Metabolism and Disorders×5Sentiment Analysis and Opinion Mining×5Artificial Intelligence in Healthcare×5
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Energy and Natural Resources, GhanaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
9 works21 Apr 2026
S-PHiNe: Physics-Informed Multichannel Speech Enhancement Using Spectro-Spatial Fusion for Low-SNR ConditionsPublisher site17 Dec 2025Open access
Towards Generation of Secure Pseudorandom Prime Dataset Using Generative Adversarial Networks and The Learning Parity with Noise ProblemPublisher siteInternational Journal of Basic and Applied Sciences, Chaos-based Image/Signal Encryption
9 Sept 2025Open access1cites
MeatScan: An image dataset for machine learning-based classification of fresh and spoiled cow meatPublisher siteData in Brief, Identification and Quantification in Food
31 May 2025
Assessing the impact of climate change on groundwater level changes using ensemble modelsPublisher siteSustainable Water Resources Management, Hydrology and Watershed Management Studies
11 Jan 2025Open access6cites
Application of Machine Learning Algorithms in Predicting Academic Performance of Students in Higher Education Institutes (HEIs): A Systematic Review and Bibliographic AnalysisPublisher siteAfrican Journal Of Applied Research, Online Learning and Analytics
1 Jan 2025Open access1cites
Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer DataPublisher siteJournal of Advances in Information Technology, Cutaneous Melanoma Detection and Management
1 Jan 2025Open access1cites
Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural NetworksPublisher siteApplied Computational Intelligence and Soft Computing, Hydrological Forecasting Using AI
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