1 citations · 1 across the 6 of their papers we have counts for
7 papers
Benchmarking and Domain Adaptation of Automatic Speech Recognition (ASR) for Adolescent Health Communication in Ghanaian Languages
Stephen E. Moore, Akwasi Asare, Mich-Seth Owusu +3
This paper presents an end-to-end study of automatic speech recognition (ASR) for adolescent health communication in three Ghanaian languages (Twi, Dagbani, and Ewe). The work proc…
Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages
Stephen E. Moore, Mich-Seth Owusu, Akwasi Asare +13
Large language models (LLMs) have demonstrated impressive multilingual capabilities for well-resourced languages, yet their performance on low-resource African languages remains po…
GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages
Lawrence Adu Gyamfi, Paul Azunre, Stephen Edward Moore +4
Low resource languages present unique challenges for natural language processing due to the limited availability of digitized and well structured linguistic data. To address this g…
PerceptronCARE: A Deep Learning-Based Intelligent Teleophthalmology Application for Diabetic Retinopathy Diagnosis
Akwasi Asare, Isaac Baffour Senkyire, Emmanuel Freeman +3
Diabetic retinopathy is a leading cause of vision loss among adults and a major global health challenge, particularly in underserved regions. This study presents PerceptronCARE, a…
Improved Segmentation of Polyps and Visual Explainability Analysis
Akwasi Asare, Thanh-Huy Nguyen, Ulas Bagci
Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors acco…
TransUNet-GradCAM: A Hybrid Transformer-U-Net with Self-Attention and Explainable Visualizations for Foot Ulcer Segmentation
Akwasi Asare, Mary Sagoe, Justice Williams Asare +1
Automated segmentation of diabetic foot ulcers (DFUs) supports clinical diagnosis, treatment planning, and wound monitoring, but remains challenging because of heterogeneous appear…
Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection
Akwasi Asare, Dennis Agyemanh Nana Gookyi, Derrick Boateng +1
Diabetic Retinopathy (DR), a leading cause of vision impairment in individuals with diabetes, affects approximately 34.6% of diabetes patients globally, with the number of cases pr…