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20232026
most citedPneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)

2 citations · 5 across the 13 of their papers we have counts for

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eess.IV2025★ 1 cited

HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation

Haoxuan Li, Wei song, Peiwu Qin +2

Breast cancer lesion segmentation in DCE-MRI remains challenging due to heterogeneous tumor morphology and indistinct boundaries. To address these challenges, this study proposes a…

eess.IV2024

Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy

Boyuan Peng, Jiaju Chen, P. Bilha Githinji +9

Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have…

eess.IV2024★ 2 cited

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)

Jiaming Deng, Zhenglin Chen, Minjiang Chen +4

Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in pediatric healthcare, especially in regions like China where it's prevalent. We introduce Pneumonia…

eess.IV2024

Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection

P. Bilha Githinji, Xi Yuan, Zhenglin Chen +8

Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models. Moreover, these…

eess.IV2023

Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molars

Chenyao Jiang, Shiyao Zhai, Hengrui Song +10

Dental caries is one of the most common oral diseases that, if left untreated, can lead to a variety of oral problems. It mainly occurs inside the pits and fissures on the occlusal…