59 citations · 67 across the 7 of their papers we have counts for
7 papers
Segmenting Medical Images: From UNet to Res-UNet and nnUNet
Lina Huang, Alina Miron, Kate Hone +1
This study provides a comparative analysis of deep learning models including UNet, Res-UNet, Attention Res-UNet, and nnUNet, and evaluates their performance in brain tumour, polyp,…
Performance Analysis of UNet and Variants for Medical Image Segmentation
Walid Ehab, Yongmin Li
Medical imaging plays a crucial role in modern healthcare by providing non-invasive visualisation of internal structures and abnormalities, enabling early disease detection, accura…
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
Jia Li, Yongmin Li, Ge Li +3
Existing studies show that code summaries help developers understand and maintain source code. Unfortunately, these summaries are often missing or outdated in software projects. Co…
Skin Lesion Diagnosis Using Convolutional Neural Networks
Daniel Alonso Villanueva Nunez, Yongmin Li
Cancerous skin lesions are one of the most common malignancies detected in humans, and if not detected at an early stage, they can lead to death. Therefore, it is crucial to have a…
Segmentation of Retinal Blood Vessels Using Deep Learning
Ifeyinwa Linda Anene, Yongmin Li
The morphology of retinal blood vessels can indicate various diseases in the human body, and researchers have been working on automatic scanning and segmentation of retinal images…
Retinal Image Segmentation with Small Datasets
Nchongmaje Ndipenoch, Alina Miron, Zidong Wang +1
Many eye diseases like Diabetic Macular Edema (DME), Age-related Macular Degeneration (AMD), and Glaucoma manifest in the retina, can cause irreversible blindness or severely impai…